Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T20:21:59.434912Z
Paper Citation Record · LEDGER
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits
As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2511.03483.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy38
- unresolved8
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4578ed01-0bb2-4810-81bf-11b1000234cb · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.160306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 82f148e6-7ec0-4b14-9a03-242c945c428f · outbound
This paper cites John Wiley & Sons.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits John Wiley & Sons
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.120152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 97be55c0-4562-4089-9538-4f275c96260d · outbound
This paper cites Systems biology of metabolism.Annual review of biochemistry, 86(1):245–275.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Systems biology of metabolism.Annual review of biochemistry, 86(1):245–275
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.210156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6d17169a-aec2-480e-bd09-fba641ac3389 · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.207399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4a4c348a-279a-4c6d-b287-9a61706ebb42 · outbound
This paper cites Akinetic model of escherichia coli core metabolism satisfying multiple sets of mutant flux data.Metabolic engineering, 25:50–62.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Akinetic model of escherichia coli core metabolism satisfying multiple sets of mutant flux data.Metabolic engineering, 25:50–62
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.205790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dabbe3b3-d433-4230-bb30-8965a198a486 · outbound
This paper cites Mathematical modelling of metabolism.Current opinion in biotechnology, 11(2):180–186.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Mathematical modelling of metabolism.Current opinion in biotechnology, 11(2):180–186
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.203263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4781a487-beaa-41a8-80bf-89a8a48621e8 · outbound
This paper cites Mass conserved elementary kinetics is sufficientfortheexistenceofanon-equilibriumsteadystateconcentration.Journal of Theoretical Biology, 314:173–181.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Mass conserved elementary kinetics is sufficientfortheexistenceofanon-equilibriumsteadystateconcentration.Journal of Theoretical Biology, 314:173–181
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.200394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6ea05d07-05fe-4498-b839-fc094943fcb4 · outbound
This paper cites Elsevier.
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.198445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bfc3ef68-7f3f-4654-92c4-618cbe4c1eb4 · outbound
This paper cites Quasi-steady-stateapproximationinthemathematical modelingofbiochemicalreactionnetworks.Mathematical biosciences,65(2):155– 170.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Quasi-steady-stateapproximationinthemathematical modelingofbiochemicalreactionnetworks.Mathematical biosciences,65(2):155– 170
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.196021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8df44c34-2fe2-4a43-8d1f-7e927d9b6853 · outbound
This paper cites Constraint- based stoichiometric modelling from single organisms to microbial communities.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Constraint- based stoichiometric modelling from single organisms to microbial communities
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.193674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 194c254b-7655-4e75-9c91-53056aed5cb7 · outbound
This paper cites Recent advances in reconstruction and applications of genome-scale metabolic models.Current opinion in biotechnology, 23(4):617–623.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Recent advances in reconstruction and applications of genome-scale metabolic models.Current opinion in biotechnology, 23(4):617–623
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.190894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b51173d1-8dd1-46bd-b5f0-f4111d3daa70 · outbound
This paper cites A genome-scale metabolic reconstruction forescherichia colik-12 mg1655 that accounts for 1260 orfs and thermodynamic information.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits A genome-scale metabolic reconstruction forescherichia colik-12 mg1655 that accounts for 1260 orfs and thermodynamic information
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.188364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 75ffe36d-715d-499e-8d6b-ad878dc417ff · outbound
This paper cites Reconstructionand use of microbial metabolic networks: the coreescherichia colimetabolic model as an educational guide.EcoSal plus.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Reconstructionand use of microbial metabolic networks: the coreescherichia colimetabolic model as an educational guide.EcoSal plus
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.185777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 73d96c68-4a44-4574-8553-0bc1141078bb · outbound
This paper cites A comprehensive genome-scale reconstructionofescherichia colimetabolism—2011.Molecular systems biology, 7(1):535.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits A comprehensive genome-scale reconstructionofescherichia colimetabolism—2011.Molecular systems biology, 7(1):535
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.183791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5ca14be-fc9c-4c06-b406-6c8d48ab392e · outbound
This paper cites Bigg models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Bigg models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.181312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9154b1d2-fc46-4368-882c-709acb17a2ba · outbound
This paper cites What is flux balance analysis?Nature biotechnology, 28(3):245–248.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits What is flux balance analysis?Nature biotechnology, 28(3):245–248
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.178280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb3a22db-2d56-4ec0-9ca6-951941966ae6 · outbound
This paper cites Growth-coupledoverproductionisfeasiblefor almostallmetabolitesinfivemajorproductionorganisms.Nature communications, 8:15956.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Growth-coupledoverproductionisfeasiblefor almostallmetabolitesinfivemajorproductionorganisms.Nature communications, 8:15956
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.176054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a579c481-3d10-4b84-a3b6-3278716b8845 · outbound
This paper cites Metabolic flux balancing: basic concepts, scientific and practical use.Bio/technology, 12(10):994–998.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Metabolic flux balancing: basic concepts, scientific and practical use.Bio/technology, 12(10):994–998
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.173325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa7c7f9a-05a8-440c-8f24-7c4eba5aad79 · outbound
This paper cites Optknock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization.Biotechnology and bioengineering, 84(6):647–657.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Optknock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization.Biotechnology and bioengineering, 84(6):647–657
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.170191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 79b9fbf8-dbbf-47fd-a2cb-2d96a2397836 · outbound
This paper cites Gene deletionalgorithmsforminimumreactionnetworkdesignbymixed-integerlinear programming for metabolite production in constraint-based models: gdel_minrn.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Gene deletionalgorithmsforminimumreactionnetworkdesignbymixed-integerlinear programming for metabolite production in constraint-based models: gdel_minrn
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.167791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 006735ba-912b-4a6e-a966-5416bb11a51b · outbound
This paper cites Optforce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductions.PLoS Comput Biol, 6(4):e1000744.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Optforce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductions.PLoS Comput Biol, 6(4):e1000744
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.165238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9b937a74-17a4-46c6-adf3-2f71e9db772d · outbound
This paper cites Optcom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Optcom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.162734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4e30004e-9210-4826-85c9-f2e6db080067 · outbound
This paper cites Metnetcomp: Databaseforminimalandmaximalgene-deletion strategies for growth-coupled production of genome-scale metabolic networks.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Metnetcomp: Databaseforminimalandmaximalgene-deletion strategies for growth-coupled production of genome-scale metabolic networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.158027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 72974f28-a871-4258-abed-2ade67fe0859 · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.155157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c69a5479-5b3e-43e4-9e08-3848d6eeaa90 · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.152896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2d98f85e-67e5-43f1-b996-f1bfa4209524 · outbound
This paper cites Creation and analysis of biochemical constraint- based models using the cobra toolbox v.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Creation and analysis of biochemical constraint- based models using the cobra toolbox v
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.150758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3950a887-c935-49c1-82c4-c5ce8420dc11 · outbound
This paper cites Mip: Theory and practice—closing the gap.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Mip: Theory and practice—closing the gap
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.148569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c6806523-6845-4265-966f-07166730031c · outbound
This paper cites An automatic method for solving discrete programming problems.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits An automatic method for solving discrete programming problems
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.146425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7b9e9ecd-71b0-4d9d-a0d3-4591a9f73400 · outbound
This paper cites The cutting-plane method for solving convex programs.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits The cutting-plane method for solving convex programs
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.142460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation db14c3da-7396-4880-8a81-1c8b8d91a6bc · outbound
This paper cites Elementary flux modes in a nutshell: properties, calculation and applications.Biotechnology journal, 8(9):1009–1016.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Elementary flux modes in a nutshell: properties, calculation and applications.Biotechnology journal, 8(9):1009–1016
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.140105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b8e6f9c5-8260-4733-85d3-d6d6fa45634d · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.137417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a85cc0ec-81a5-4393-9a7c-67de197dac8f · outbound
This paper cites Min- imal cut sets in a metabolic network are elementary modes in a dual network.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Min- imal cut sets in a metabolic network are elementary modes in a dual network
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.135464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3fdedc20-e923-4af9-8c76-17832cc421df · outbound
This paper cites Enumeration of smallest intervention strategies in genome-scale metabolic networks.PLoS computational biology, 10(1):e1003378.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Enumeration of smallest intervention strategies in genome-scale metabolic networks.PLoS computational biology, 10(1):e1003378
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.133086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 41fcc4ac-3e46-485a-ba73-5027a8ca5b21 · outbound
This paper cites L1 norm minimal mode-based methods for listing reaction net- work designs for metabolite production.IEICE TRANSACTIONS on Information and Systems, 104(5):679–687.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits L1 norm minimal mode-based methods for listing reaction net- work designs for metabolite production.IEICE TRANSACTIONS on Information and Systems, 104(5):679–687
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.130503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 41db70de-864a-4a9b-97d0-a92d4b4696a6 · outbound
This paper cites From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints.PLoS computational biology, 13(4).
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints.PLoS computational biology, 13(4)
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.127678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8777ab90-3db5-438a-a0d2-4a667e496752 · outbound
This paper cites Model-driven evaluation of the production potential for growth-coupled products of escherichia coli.Metabolic engineering, 12(3):173–186.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Model-driven evaluation of the production potential for growth-coupled products of escherichia coli.Metabolic engineering, 12(3):173–186
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.125570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe2c8feb-cf9e-4899-b1ad-13ed61f9afff · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.122734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 940e2803-c164-42fe-8242-89f28af29bc4 · outbound
This paper cites Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways.Bioinfor- matics, 26(4):536–543.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways.Bioinfor- matics, 26(4):536–543
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.118066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 628e3edb-ae00-43a6-b4db-d7bad6093ecc · outbound
This paper cites Evolu- tionary programming as a platform for in silico metabolic engineering.BMC bioinformatics, 6(1):308.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Evolu- tionary programming as a platform for in silico metabolic engineering.BMC bioinformatics, 6(1):308
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.114978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bb93baa1-4c36-4e20-9748-d31a5efc3c91 · outbound
This paper cites Determination of growth-coupling strategies and their underlying principles.BMC bioinformatics, 20(1):447.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Determination of growth-coupling strategies and their underlying principles.BMC bioinformatics, 20(1):447
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.112983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9ac839de-452c-4ad1-b146-04f11d2bf175 · outbound
This paper cites Straindesign: a comprehensive python package for computational design of metabolic networks.Bioinformatics, 38(21):4981–4983.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Straindesign: a comprehensive python package for computational design of metabolic networks.Bioinformatics, 38(21):4981–4983
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.110702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1889b1e5-ffb2-4f70-80ff-e1a7fcb23453 · outbound
This paper cites Grid-basedcomputationalmethodsforthedesignofconstraint- basedparsimoniouschemicalreactionnetworkstosimulatemetaboliteproduction: Gridprod.BMC bioinformatics, 19(1):325.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Grid-basedcomputationalmethodsforthedesignofconstraint- basedparsimoniouschemicalreactionnetworkstosimulatemetaboliteproduction: Gridprod.BMC bioinformatics, 19(1):325
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.107512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0fd50909-d56e-4d26-a760-5791482d663f · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.104935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4bc43b03-8726-44d0-96e0-300df760b2b9 · outbound
This paper cites an unresolved cited work.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T20:24:22.102290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ab00ef0d-ed9e-4d83-907a-8743098dc47c · outbound
This paper cites Optstrain: a computa- tionalframeworkforredesignofmicrobialproductionsystems.Genome research, 14(11):2367–2376.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits Optstrain: a computa- tionalframeworkforredesignofmicrobialproductionsystems.Genome research, 14(11):2367–2376
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.099127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 533370f9-5d8a-4e60-9252-74f1d95810fa · outbound
This paper cites An in-silico approach to predict and exploit synthetic lethality in cancer metabolism.Nature communications, 8(1):459.
A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits An in-silico approach to predict and exploit synthetic lethality in cancer metabolism.Nature communications, 8(1):459
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T20:24:22.096988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.