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Paper Citation Record · LEDGER

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation

As of 8 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2505.22786.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.22786 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:28.689858Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f53336b-bd02-4c24-b145-e5b843812c87 · outbound

This paper cites Structural basis of protein-nucleic acid interac- tions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Structural basis of protein-nucleic acid interac- tions

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ed894b00-b4f7-4939-9fa3-e7bf80790e52 · outbound

This paper cites Protein–rna inter- actions: new genomic technologies and perspectives.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Protein–rna inter- actions: new genomic technologies and perspectives

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:39.172369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 46061ab3-4309-4891-9914-633097da2e1a · outbound

This paper cites Comprehensive review and empirical analysis of hallmarks of dna-, rna-and protein-binding residues in protein chains.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Comprehensive review and empirical analysis of hallmarks of dna-, rna-and protein-binding residues in protein chains

Reference 3

Resolution
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Source-reported events for the cited work

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Observation dc201d64-755f-4b80-9b28-e6524dd6ebe6 · outbound

This paper cites A single amino acid can determine the dna binding specificity of homeodomain proteins.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation A single amino acid can determine the dna binding specificity of homeodomain proteins

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c812182b-eb5b-4beb-82f3-b44c1e79904e · outbound

This paper cites Protein–dna interactions: amino acid conservation and the effects of mutations on binding specificity.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Protein–dna interactions: amino acid conservation and the effects of mutations on binding specificity

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bc389080-a726-4ce7-8fa3-d7f057fc92b9 · outbound

This paper cites Dissecting the expression landscape of rna-binding proteins in human cancers.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Dissecting the expression landscape of rna-binding proteins in human cancers

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:38.289695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bdc58491-8210-4743-a581-eae254cb12fb · outbound

This paper cites Dna- pkcs structure suggests an allosteric mechanism modulating dna double-strand break repair.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Dna- pkcs structure suggests an allosteric mechanism modulating dna double-strand break repair

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f66ff11f-4ef9-4866-8032-3cfea12e1fc5 · outbound

This paper cites Cancer-associated point mutations in the dlc1 tumor sup- pressor and other rho-gaps occur frequently and are associated with decreased function.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Cancer-associated point mutations in the dlc1 tumor sup- pressor and other rho-gaps occur frequently and are associated with decreased function

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b7361898-8670-4fee-89a7-de4b65ba3154 · outbound

This paper cites Frontotemporal dementia-linked p112h mutation of tdp-43 induces protein structural change and impairs its rna binding function.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Frontotemporal dementia-linked p112h mutation of tdp-43 induces protein structural change and impairs its rna binding function

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d2a4f2ec-3e8f-4e35-9cf7-fe47f3859472 · outbound

This paper cites Surface plasmon resonance: a versatile technique for biosensor applications.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Surface plasmon resonance: a versatile technique for biosensor applications

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 81247fa5-2439-4432-b94e-3b22f0f92673 · outbound

This paper cites Isothermal titration calorimetry.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Isothermal titration calorimetry

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12fe84e3-eda1-4c9e-85e5-98c0d9df9095 · outbound

This paper cites Recent advances in fret: distance determination in protein–dna complexes.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Recent advances in fret: distance determination in protein–dna complexes

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:37.194684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb4e30d8-ae34-4e4e-8bec-c54f0e49f5e2 · outbound

This paper cites Predicting protein–dna binding free energy change upon missense mutations using modified mm/pbsa approach: Sampdi webserver.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Predicting protein–dna binding free energy change upon missense mutations using modified mm/pbsa approach: Sampdi webserver

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:22.508623Z digest=sha256:2483bd56c8dc6bf39e2da8863ec8bd74b73d0c30bf5f8ed05eaab61bdea95e2f

Observation 77f71475-eebe-44ae-aa5f-2dbf7bb10426 · outbound

This paper cites Sampdi-3d: predicting the effects of protein and dna mutations on protein–dna interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Sampdi-3d: predicting the effects of protein and dna mutations on protein–dna interactions

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:22.549130Z digest=sha256:db8caa9d06b7033be2659d71b0ba4f7a1670993ff38639799ffaaa1f1b6f7ce7

Observation 433d2223-ca45-423f-bbfc-e1f7303ed361 · outbound

This paper cites Further development of sampdi-3d: A machine learning method for predicting binding free energy changes caused by mutations in either protein or dna.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Further development of sampdi-3d: A machine learning method for predicting binding free energy changes caused by mutations in either protein or dna

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d54eefc4-b8b6-4937-a7b0-1d2f50baaa95 · outbound

This paper cites Prempdi estimates and interprets the effects of missense mutations on protein-dna interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Prempdi estimates and interprets the effects of missense mutations on protein-dna interactions

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:36.657588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:22.795257Z digest=sha256:006b7dae353931c4b33876d3445b8c6c8ce8023be376f320921be8d4095c5180

Observation dd394d9a-cdd5-425b-a14d-d42ac1ea116f · outbound

This paper cites Prempri: Predicting the effects of missense mutations on protein–rna interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Prempri: Predicting the effects of missense mutations on protein–rna interactions

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:22.860164Z digest=sha256:0f0c24a4910b4b7382f045386508f79dbfe4a79239b7e11fc75f0ca0247db79e

Observation 598058bc-2284-4957-abf9-709d0284e0d4 · outbound

This paper cites Pra-mutpred: Predicting the effect of point mutations in protein–rna complexes using structural features.Journal of Chemical Information and Modeling , 2025.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Pra-mutpred: Predicting the effect of point mutations in protein–rna complexes using structural features.Journal of Chemical Information and Modeling , 2025

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:36.400446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9990fbd8-3d98-453a-9107-af54caa9a570 · outbound

This paper cites mcsm–na: predicting the effects of mutations on protein–nucleic acids interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation mcsm–na: predicting the effects of mutations on protein–nucleic acids interactions

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:36.257374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f724b925-0cb1-4f1f-b416-b4aa74a6d234 · outbound

This paper cites Systematic comparison and prediction of the effects of missense mutations on protein-dna and protein-rna interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Systematic comparison and prediction of the effects of missense mutations on protein-dna and protein-rna interactions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:36.143329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d481db34-6b44-437f-989b-af38bbc5e05f · outbound

This paper cites Pnbace: an ensemble algorithm to predict the effects of mutations on protein-nucleic acid binding affinity.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Pnbace: an ensemble algorithm to predict the effects of mutations on protein-nucleic acid binding affinity

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:35.969703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 96ea41cd-3d04-4531-a4c9-5f1e701ea6b2 · outbound

This paper cites Computing persistent homology.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Computing persistent homology

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:35.833714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6f000626-b040-422d-ac24-3aae694d30c6 · outbound

This paper cites Topological data analy- sis.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Topological data analy- sis

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fa52d8ac-4f29-45b6-bcf1-64c1079ce40b · outbound

This paper cites A topological approach for protein classification.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation A topological approach for protein classification

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:23.721568Z digest=sha256:b3829b1af654462e786cca77ad2f09114144209aa0eb6840dc4cd61bb8a5556f

Observation 11aafe15-260d-4f7e-aa67-5fdd3c468505 · outbound

This paper cites Topologynet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Topologynet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:23.829842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 192a0fa3-e88a-4850-8272-0956a411d5a2 · outbound

This paper cites Position: Topological deep learning is the new frontier for relational learning.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Position: Topological deep learning is the new frontier for relational learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:23.936987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:23.936987Z digest=sha256:a75029bfd4fcfdcac80fcaecd2f72551eee312f224359ad69fcf312594f16e98

Observation 9d3c6a2c-f839-4738-85f1-3e6abbd16b9b · outbound

This paper cites Mathematical deep learning for pose and binding affinity prediction and ranking in d3r grand challenges.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Mathematical deep learning for pose and binding affinity prediction and ranking in d3r grand challenges

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:35.504211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:24.098009Z digest=sha256:a6b6ddcd4bc4285ea38a0b7a49a7a1d3cd7f9431274f384d06af2509d2d36239

Observation 6c6c95e5-a40c-46e3-91a8-e39b12d50395 · outbound

This paper cites Mathdl: mathematical deep learning for d3r grand challenge 4.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Mathdl: mathematical deep learning for d3r grand challenge 4

Reference 28

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no resolver link, observed 2026-08-07T13:04:24.178618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:24.178618Z digest=sha256:331c7411fc41ebcf6d7f85c4564cc934df63e94b8a21ec70b06afc4556b4061b

Observation 306441dd-1bc1-41c4-b778-e0e95df10ee9 · outbound

This paper cites Persistent spectral graph.International journal for numerical methods in biomedical engineering , 36(9):e3376, 2020.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent spectral graph.International journal for numerical methods in biomedical engineering , 36(9):e3376, 2020

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:24.272069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:24.272069Z digest=sha256:daa967222c2618cb46b575f81f2dfe78b4d5f900e74e92ca2b1e0c263359cc52

Observation 34320639-8a1b-4ec2-bb85-8454b65bd361 · outbound

This paper cites Persistent topological Laplacians–a Survey.Mathematics, 13(2):208, 2025.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent topological Laplacians–a Survey.Mathematics, 13(2):208, 2025

Reference 30

Resolution
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no resolver link, observed 2026-08-07T13:04:24.381090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:24.381090Z digest=sha256:bb216cce45fb1a3fa84a546b64f8a62e193f190a37620aad1badebb796140d0d

Observation 0f60a063-b860-4a31-a9b4-34527380fe12 · outbound

This paper cites Persistent laplacians: Properties, algorithms and implications.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent laplacians: Properties, algorithms and implications

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:35.298128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:24.455670Z digest=sha256:ece660d924131fd8c5ecc643f08f5e9d90a1bb6d48ee14402fe06e75b5973ca0

Observation 6f64a323-0f2e-42eb-a720-446b27f6070b · outbound

This paper cites The algebraic stability for persistent Laplacians.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The algebraic stability for persistent Laplacians

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:24.545522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:24.545522Z digest=sha256:b239f6b794ccd02d80673e6f917341657cecf90f1eeb0f06713b73afc3a28eeb

Observation 5b0aa445-7aa0-49dc-97cd-bbdd3c565f42 · outbound

This paper cites Persistent spectral–based machine learning (perspect ml) for protein-ligand binding affinity prediction.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent spectral–based machine learning (perspect ml) for protein-ligand binding affinity prediction

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:35.164781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:24.613135Z digest=sha256:3af40f75101dc4a7a93387787c0718b931987b3a20664898efddddd6bf7a71ba

Observation dc30b68f-fa9b-432f-87b6-83f2729fb61a · outbound

This paper cites Persistent spectral theory-guided protein engineering.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent spectral theory-guided protein engineering

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:24.690791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:24.690791Z digest=sha256:32c17efb34148e4f8596660f5196c13ede036ae5c02986423f69d189e713863b

Observation 4466050b-f8e0-4c74-97a0-5d0353b25dee · outbound

This paper cites Persistent laplacian projected omicron ba.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent laplacian projected omicron ba

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:24.782789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:24.782789Z digest=sha256:64f7bae1a0c2d819d952f69b98244f09a8041d5470ccf8051c2e26e984a0f429

Observation c58660a9-b98f-40c1-8422-0fe833fa24cc · outbound

This paper cites A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.996537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:24.847547Z digest=sha256:54023813fe045603447ce129f218c90b42ae58369393c69dba33600db5639dd1

Observation 1a131eb2-6f1f-4e05-9e08-b06a55cfef3c · outbound

This paper cites Persistent spectral based ensemble learning (perspect-el) for protein–protein binding affinity prediction.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent spectral based ensemble learning (perspect-el) for protein–protein binding affinity prediction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.828772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:24.922302Z digest=sha256:05c95c603b2bf74d29bd581abad965e89f2a1341c5c99a02a75275be1d3e05a6

Observation 8aa714ff-8016-419e-83dc-e4b28de45a1f · outbound

This paper cites Hom-complex-based machine learning (hcml) for the prediction of protein–protein binding affinity changes upon mutation.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Hom-complex-based machine learning (hcml) for the prediction of protein–protein binding affinity changes upon mutation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.695086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.035266Z digest=sha256:a363e0865d7efc44b9d75303f0d16739cc7cf53c601650f67b7119e3e9dbfebd

Observation 91320a0a-c7ee-4039-ac29-998ebca9826d · outbound

This paper cites Persistent tor-algebra for protein– protein interaction analysis.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent tor-algebra for protein– protein interaction analysis

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.517294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.138211Z digest=sha256:6355d7ba3d45079e987b54224c6333344b857d9f22b7d2a767e098faf234ec7e

Observation 1934810c-b674-4dde-8181-69f6e828cd25 · outbound

This paper cites Greedy function approximation: a gradient boosting machine.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Greedy function approximation: a gradient boosting machine

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:25.202088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:25.202088Z digest=sha256:0ab1fccf97082989e221ad4090999b0ee1123e300c721bef758ab79a5eed18fa

Observation b8766b92-017a-42b7-9581-62f2b13cf40a · outbound

This paper cites Pronab: database for binding affinities of protein–nucleic acid complexes and their mutants.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Pronab: database for binding affinities of protein–nucleic acid complexes and their mutants

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.365512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.342123Z digest=sha256:5efa3d276e080ddca3a5d6cf1ebe518fc50f0bf08fbcbbc53745c2efe24cea6a

Observation 7305bf41-abc8-492f-8738-43aa0323a7c2 · outbound

This paper cites Protherm and pronit: thermodynamic databases for proteins and protein–nucleic acid interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Protherm and pronit: thermodynamic databases for proteins and protein–nucleic acid interactions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.225210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.419338Z digest=sha256:b57ae45a6e466afdff0c1accbb22ae51f377b1cfad4a4b3be8f10b8212ed86a4

Observation 9d5c82c2-0af8-4baa-a2dd-805803002edf · outbound

This paper cites dbamepni: a database of alanine mutagenic effects for protein–nucleic acid interactions.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation dbamepni: a database of alanine mutagenic effects for protein–nucleic acid interactions

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:34.064826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.522168Z digest=sha256:e9456ffef191e1a88d6bad816909e8bb042e293f0dad843df57042a10367588a

Observation a1887743-fdef-4ecb-8305-ed64b20bb077 · outbound

This paper cites The foldx web server: an online force field.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The foldx web server: an online force field

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.922190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.624659Z digest=sha256:28adfd60bc5d7a035e586a25fc9a7bfa5fa65524a703437c33dd7601eab9d27b

Observation 5772c2b8-471f-4c90-b1eb-625df7b69879 · outbound

This paper cites A simple definition of structural regions in proteins and its use in analyzing interface evolution.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation A simple definition of structural regions in proteins and its use in analyzing interface evolution

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.794344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.714936Z digest=sha256:774992963d028661fd789c5b6aae8d6c6d3ecce67eb6c54c70d4b0aad8074951

Observation b3760779-7fb0-4c83-9518-e8537fec8bd0 · outbound

This paper cites Persistent sheaf Laplacians.Foundations of Data Science, 7(2):446–463, 2025.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent sheaf Laplacians.Foundations of Data Science, 7(2):446–463, 2025

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.638549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.798404Z digest=sha256:3e87b0fda1f8a1a03a3403ba35f17aa3063e3d952aafe7ab2d65ee4bd0149590

Observation f529d594-b88b-44b7-9383-c697ac9d37c1 · outbound

This paper cites Quantum persistent ho- mology.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Quantum persistent ho- mology

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.500020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:25.892615Z digest=sha256:6abc9962b8a1edfe98c813dcdf0436d22121a7b947e3bc4e4624dc19c080a433

Observation 0dc717a5-5d39-4beb-bc76-1c31f7051e7d · outbound

This paper cites Persistent dirac of paths on digraphs and hyper- graphs.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Persistent dirac of paths on digraphs and hyper- graphs

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.366472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:26.034466Z digest=sha256:a3dc70f0e881da72c31ba670c29d553252c0c8f981acbbce9a844aa3ff090660

Observation 64ddd931-5f73-406a-ae1e-3e09baf7c24a · outbound

This paper cites Random forests.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Random forests

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:26.162150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:26.162150Z digest=sha256:db05f232a6dcd6a87e18bf4458919b1d6e3ae69b5c032e55b2cb0b049bb432bd

Observation 6b9a0397-b647-4bb1-bd83-0762788a2f92 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Xgboost: A scalable tree boosting system

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.252201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:26.293590Z digest=sha256:ec6ab2599b2eeef2da48a1077e3a5b7bf4561a885a11068b5cb872e9ec16bf33

Observation aa2c29df-a060-4b4e-a54e-a05df508c2b1 · outbound

This paper cites Stacked generalization.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Stacked generalization

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:26.457179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:26.457179Z digest=sha256:259052806dbff38c7d36bc557444b1f840e345226b8fd092ab5849a79c11d72c

Observation e0cb0b72-cf34-4a3c-8111-4dfbbcbb5936 · outbound

This paper cites Integration of element specific persistent homology and machine learning for protein-ligand binding affinity prediction.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Integration of element specific persistent homology and machine learning for protein-ligand binding affinity prediction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:33.096016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:26.574472Z digest=sha256:c512427359812c27effcf0921eb2e0863fa191d1edd951351c3a11a1ee5fe461

Observation 9a50c6c5-f884-427c-9e1d-46dce1c2916a · outbound

This paper cites ¨Uber den h¨ oheren zusammenhang kompakter r¨ aume und eine klasse von zusammenhangstreuen abbildungen.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation ¨Uber den h¨ oheren zusammenhang kompakter r¨ aume und eine klasse von zusammenhangstreuen abbildungen

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:26.662755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:26.662755Z digest=sha256:5fc213c17134e706beec3ed3ee81b791dee4fd4b22fd664e1f20fa4f08a8c879

Observation 469dbe6b-8f41-4634-a1ba-ed0f4c273292 · outbound

This paper cites Alpha shapes-a survey.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Alpha shapes-a survey

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.947948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:26.829630Z digest=sha256:1726c6ac6f28235ba1689c597c9f5b6dc8e8ae9e5773ddb53070f4a9917baa2d

Observation b2d59563-b30a-4e61-ba3c-0097965bc5bc · outbound

This paper cites MIBPB: a software package for electrostatic analysis.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation MIBPB: a software package for electrostatic analysis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.822143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:26.970789Z digest=sha256:6594223fc5858b1134b863a2466b5dd07e183ba27c8e75f9a75d22e23fea7a78

Observation 9b8a4449-3ace-4fdf-a1fe-9e123cb91d8a · outbound

This paper cites The Journal of Physical Chemistry B , 105 (28):6507–6514, 2001.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The Journal of Physical Chemistry B , 105 (28):6507–6514, 2001

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.670240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.048869Z digest=sha256:4f1c62ccad1070eb33bbb349385febefc68174812c7297eba725001c6e0a0030

Observation 7b2f78b4-149e-4514-97fd-693a43dfe9fb · outbound

This paper cites Improvements to the apbs biomolecular solvation software suite.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Improvements to the apbs biomolecular solvation software suite

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.540038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.137707Z digest=sha256:ba829de38088a9ae0db0c189ae849fcd148ec50f2161d0039979c95f85d8ae9c

Observation 78349c94-be60-4677-81a8-9b7d02d25f7d · outbound

This paper cites Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.421539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.218698Z digest=sha256:5423ace8e6e0c53673bcb5cf21175b288cc59ccc5c0ff0194cb362abb984e406

Observation f7a9016a-51b4-439f-98c0-7e6091b07bc9 · outbound

This paper cites Prottrans: Toward understanding the language of life through self-supervised learn- ing.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Prottrans: Toward understanding the language of life through self-supervised learn- ing

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.238344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.298761Z digest=sha256:611a0d80f35119a0bff9e148d72d586545b7827b6ce444ca9b5d357cbbc512dc

Observation a73832a5-0085-4dcb-b6a0-fa57e8955933 · outbound

This paper cites Evolutionary-scale pre- diction of atomic-level protein structure with a language model.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Evolutionary-scale pre- diction of atomic-level protein structure with a language model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:27.367077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:27.367077Z digest=sha256:08f70cd0108d3437fe9f64c98d931e6d9acc3534a0520648d551fa355df78310

Observation 1412ee9b-acb3-4647-be98-eb508c9c186b · outbound

This paper cites ESES: Software for Eulerian solvent excluded surface, 2017.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation ESES: Software for Eulerian solvent excluded surface, 2017

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:32.003700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.439449Z digest=sha256:7bea24ff9d9a08ecef7c19a8958a74edfc5441b599d6bfbcb9134f43980d5aa2

Observation 48146c5a-2c0b-4ad9-a25b-a8debe9d9c45 · outbound

This paper cites Pdb2pqr: an automated pipeline for the setup of poisson–boltzmann electrostatics calculations.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Pdb2pqr: an automated pipeline for the setup of poisson–boltzmann electrostatics calculations

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:31.693802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.485913Z digest=sha256:d52f2ac19a573f97305284c1e3df3d3cf31a97308e579041ba863d20c03b8bf7

Observation ce2e0a64-2fad-44be-9920-3a61e21ad64c · outbound

This paper cites Very fast prediction and rational- ization of pka values for protein–ligand complexes.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Very fast prediction and rational- ization of pka values for protein–ligand complexes

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:31.446095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.569082Z digest=sha256:2684f36a966bcfe30d51210f7beb8e10f51ffdef365d4214662d0b0d4b7c5386

Observation b18e496b-f082-4439-9389-4244b33ff95f · outbound

This paper cites Gapped blast and psi-blast: a new generation of protein database search programs.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Gapped blast and psi-blast: a new generation of protein database search programs

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:31.240728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.642874Z digest=sha256:134011c0491f3b9a0ba6839286ae262d53401c405d05e3ae976c98f52a8561c0

Observation 6976bd29-6231-4dcc-acf0-3d92ef92acb2 · outbound

This paper cites Spider2: a package to predict 21 secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Spider2: a package to predict 21 secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:31.030509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.709814Z digest=sha256:5b09ee6960c52c7340138596028730fd874883163cf7f65f860f94affb20fed8

Observation 3c8b272b-15f2-46e0-a0dd-5fda76e8f820 · outbound

This paper cites Jackal: A protein structure modeling package.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Jackal: A protein structure modeling package

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:30.737799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.784121Z digest=sha256:fee9bcb1d363d29ce240b0816af08d89e5b16460adfd485496e424f313d4a274

Observation f2b4b523-b4a3-4109-b8d7-836932ca7a42 · outbound

This paper cites The gudhi library: Simplicial complexes and persistent homology.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The gudhi library: Simplicial complexes and persistent homology

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:27.854089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:27.854089Z digest=sha256:c99edb277427b0984ba02a4b04baaeb4b66867992f78e744057a8f89c8b3ebd1

Observation 2f74542d-9c7e-42a0-a22d-f980e5fd63c2 · outbound

This paper cites scipy/scipy: Scipy 1.15.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation scipy/scipy: Scipy 1.15

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:30.411246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.921153Z digest=sha256:9acc6496c0e760805d6a3b3db050013ddf6e908b9e8b1073f77d69520baf3025

Observation 123d83dd-2d4e-4189-abcd-24ef61ebf9f5 · outbound

This paper cites Atom surface areas within each group are summed up to generate one feature, leading to (5 × 7 + 1) × 3 = 108 features.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Atom surface areas within each group are summed up to generate one feature, leading to (5 × 7 + 1) × 3 = 108 features

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:30.126117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:27.988197Z digest=sha256:24d521b40f3859f0e852bd14e0040bc193c03eda9ffa5acee76145ceaec24afe

Observation 00100334-472b-48b4-8b92-2c0807be8eb9 · outbound

This paper cites For each atom group, both the sum of partial charges and the sum of 23 absolute partial charges are considered.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation For each atom group, both the sum of partial charges and the sum of 23 absolute partial charges are considered

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:29.914340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.068959Z digest=sha256:e673eef83ca3d865d817d593fdd233519234f2d0ae44e3f983988cdbbfe49bb4

Observation 4a59f2c8-a730-4e8b-89f8-b3a58405b27c · outbound

This paper cites The constant of 1 is used in our computation.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The constant of 1 is used in our computation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:29.680807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.164388Z digest=sha256:2f8af74697166c647f5bb230de7f2b019c15d6e2cc7fbd0705f7b15a62f44f2b

Observation aceae449-541d-4c06-bba0-5e602f4f54ad · outbound

This paper cites The van der Waals energy of the i-th atom is computed as the sum of pairwise Lennard-Jones potentials with all other atoms.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The van der Waals energy of the i-th atom is computed as the sum of pairwise Lennard-Jones potentials with all other atoms

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:29.560495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.259837Z digest=sha256:4266c0d273d409c1125ee7204fdc29a94fd3fd89dcaab62d6a01b31488b33a17

Observation f89382bd-a021-44db-9e8e-9f7e4b43ac05 · outbound

This paper cites The electrostatic solvation free energy for each atom is computed using the Poisson-Boltzmann model through the software MIBPM [55].

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The electrostatic solvation free energy for each atom is computed using the Poisson-Boltzmann model through the software MIBPM [55]

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:29.412603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.359084Z digest=sha256:4889948ea22df43dfd0544c8a9e7160013668fcef4e4990c0de0351ef70b3c9f

Observation 447d503b-43ab-4ea2-98f5-fb1bcb2484fe · outbound

This paper cites Neighboring residues within 12 ˚A of the mutation site are considered.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Neighboring residues within 12 ˚A of the mutation site are considered

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:29.288222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.457944Z digest=sha256:0ed81de2f39970b33338c63fe76dd6b92e2053631600ae11007bb6f2aedac77e

Observation 2bc4801e-3fd1-4896-b93a-567db1ae0980 · outbound

This paper cites The pKa values of residues are computed using PROPKA software [63].

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The pKa values of residues are computed using PROPKA software [63]

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:29.143420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.520868Z digest=sha256:f901a591b44f8e62947d725475a8a046a3e3bf9a99449d46f95e3d431d75636d

Observation 58ac8255-2141-4a3a-8fbc-83efbaa2094d · outbound

This paper cites Features are computed from the conservation scores in the PSSM of the mutation site.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation Features are computed from the conservation scores in the PSSM of the mutation site

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:28.998879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.591746Z digest=sha256:ed89408c328566f6120df04fc82acf940772ffff9762ac5f12d21eb464d6d202

Observation a4ffd017-c664-4f35-b67b-27789c955cd0 · outbound

This paper cites The SPIDER software [65] is used to compute the probability of residue torsion angle and a residue being in a coil, alpha helix, and beta strand.

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation The SPIDER software [65] is used to compute the probability of residue torsion angle and a residue being in a coil, alpha helix, and beta strand

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:28.860123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:04:28.689858Z digest=sha256:19f823179fc62489a8fb168d0959c76e4682fc48ae074edaa356d45fff6b0110

Pith citing papers

No inbound Pith citation observations are available.