Exploring zero-shot structure-based protein fitness prediction | Paper Citation Record

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Exploring zero-shot structure-based protein fitness prediction write newline

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This paper cites DisProt in 2024: improving function annotation of intrinsically disordered proteins.

Exploring zero-shot structure-based protein fitness prediction DisProt in 2024: improving function annotation of intrinsically disordered proteins

Reference 2

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This paper cites RCSB Protein Data Bank : exploring protein 3D similarities via comprehensive structural alignments.

Exploring zero-shot structure-based protein fitness prediction RCSB Protein Data Bank : exploring protein 3D similarities via comprehensive structural alignments

Reference 3

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This paper cites Rapid protein stability prediction using deep learning representations.

Exploring zero-shot structure-based protein fitness prediction Rapid protein stability prediction using deep learning representations

Reference 4

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This paper cites Blaabjerg, Nicolas Jonsson, Wouter Boomsma, Amelie Stein, and Kresten Lindorff-Larsen.

Exploring zero-shot structure-based protein fitness prediction Blaabjerg, Nicolas Jonsson, Wouter Boomsma, Amelie Stein, and Kresten Lindorff-Larsen

Reference 5

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This paper cites Predicting protein variants with equivariant graph neural networks.

Exploring zero-shot structure-based protein fitness prediction Predicting protein variants with equivariant graph neural networks

Reference 6

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This paper cites Brown, Sachiko Takayama, Andrew M.

Exploring zero-shot structure-based protein fitness prediction Brown, Sachiko Takayama, Andrew M

Reference 7

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This paper cites Center for High Throughput Computing , 2006.

Exploring zero-shot structure-based protein fitness prediction Center for High Throughput Computing , 2006

Reference 8

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This paper cites Schneider, Andrew W.

Exploring zero-shot structure-based protein fitness prediction Schneider, Andrew W

Reference 9

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This paper cites Dauparas, I.

Exploring zero-shot structure-based protein fitness prediction Dauparas, I

Reference 10

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Exploring zero-shot structure-based protein fitness prediction Unresolved cited work

Reference 11

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This paper cites Protein Interface Prediction using Graph Convolutional Networks.

Exploring zero-shot structure-based protein fitness prediction Protein Interface Prediction using Graph Convolutional Networks

Reference 12

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This paper cites Hierarchical graph learning for protein protein interaction.

Exploring zero-shot structure-based protein fitness prediction Hierarchical graph learning for protein protein interaction

Reference 13

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Exploring zero-shot structure-based protein fitness prediction Unresolved cited work

Reference 14

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This paper cites Douglas Renfrew, Tomasz Kosciolek, Julia Koehler Leman, Daniel Berenberg, Tommi Vatanen, Chris Chandler, Bryn C.

Exploring zero-shot structure-based protein fitness prediction Douglas Renfrew, Tomasz Kosciolek, Julia Koehler Leman, Daniel Berenberg, Tommi Vatanen, Chris Chandler, Bryn C

Reference 15

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This paper cites Learning inverse folding from millions of predicted structures.

Exploring zero-shot structure-based protein fitness prediction Learning inverse folding from millions of predicted structures

Reference 16

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This paper cites Schief, and David Baker.

Exploring zero-shot structure-based protein fitness prediction Schief, and David Baker

Reference 17

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Exploring zero-shot structure-based protein fitness prediction Unresolved cited work

Reference 18

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Exploring zero-shot structure-based protein fitness prediction Unresolved cited work

Reference 19

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This paper cites Kulikova, Daniel J.

Exploring zero-shot structure-based protein fitness prediction Kulikova, Daniel J

Reference 20

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This paper cites GEMME : A Simple and Fast Global Epistatic Model Predicting Mutational Effects.

Exploring zero-shot structure-based protein fitness prediction GEMME : A Simple and Fast Global Epistatic Model Predicting Mutational Effects

Reference 21

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This paper cites Weitzner, Steven M.

Exploring zero-shot structure-based protein fitness prediction Weitzner, Steven M

Reference 22

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This paper cites Protein Expansion Is Primarily due to Indels in Intrinsically Disordered Regions.

Exploring zero-shot structure-based protein fitness prediction Protein Expansion Is Primarily due to Indels in Intrinsically Disordered Regions

Reference 23

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

Exploring zero-shot structure-based protein fitness prediction Evolutionary-scale prediction of atomic-level protein structure with a language model

Reference 24

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Exploring zero-shot structure-based protein fitness prediction Kragelund

Reference 25

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This paper cites Freed, and Carrie A.

Exploring zero-shot structure-based protein fitness prediction Freed, and Carrie A

Reference 26

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This paper cites Marks, Lucy J.

Exploring zero-shot structure-based protein fitness prediction Marks, Lucy J

Reference 27

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This paper cites Embeddings from protein language models predict conservation and variant effects.

Exploring zero-shot structure-based protein fitness prediction Embeddings from protein language models predict conservation and variant effects

Reference 28

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This paper cites ColabFold : making protein folding accessible to all.

Exploring zero-shot structure-based protein fitness prediction ColabFold : making protein folding accessible to all

Reference 29

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Exploring zero-shot structure-based protein fitness prediction Newberry, Taylor Arhar, Jean Costello, George C

Reference 30

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This paper cites Newberry, Jaime T.

Exploring zero-shot structure-based protein fitness prediction Newberry, Jaime T

Reference 31

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This paper cites GitHub issue: AlphaFold2 structure generation details, 2025.

Exploring zero-shot structure-based protein fitness prediction GitHub issue: AlphaFold2 structure generation details, 2025

Reference 32

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Exploring zero-shot structure-based protein fitness prediction Gomez, Debora Marks, and Yarin Gal

Reference 33

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Exploring zero-shot structure-based protein fitness prediction Kollasch, Daniel Ritter, Yarin Gal, and Debora Susan Marks

Reference 34

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This paper cites ProteinGym : Large - Scale Benchmarks for Protein Fitness Prediction and Design.

Exploring zero-shot structure-based protein fitness prediction ProteinGym : Large - Scale Benchmarks for Protein Fitness Prediction and Design

Reference 35

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This paper cites Combining Structure and Sequence for Superior Fitness Prediction.

Exploring zero-shot structure-based protein fitness prediction Combining Structure and Sequence for Superior Fitness Prediction

Reference 36

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Exploring zero-shot structure-based protein fitness prediction Rao, Jason Liu, Robert Verkuil, Joshua Meier, John Canny, Pieter Abbeel, Tom Sercu, and Alexander Rives

Reference 37

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Exploring zero-shot structure-based protein fitness prediction Lawrence Zitnick, Jerry Ma, and Rob Fergus

Reference 38

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Exploring zero-shot structure-based protein fitness prediction Romero, Andreas Krause, and Frances H

Reference 39

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This paper cites Rubin, Jeremy Stone, Aisha Haley Bianchi, Benjamin J.

Exploring zero-shot structure-based protein fitness prediction Rubin, Jeremy Stone, Aisha Haley Bianchi, Benjamin J

Reference 40

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Exploring zero-shot structure-based protein fitness prediction High- Resolution Comparative Modeling with RosettaCM

Reference 41

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This paper cites MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.

Exploring zero-shot structure-based protein fitness prediction MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets

Reference 42

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This paper cites SaProt : Protein Language Modeling with Structure -aware Vocabulary.

Exploring zero-shot structure-based protein fitness prediction SaProt : Protein Language Modeling with Structure -aware Vocabulary

Reference 43

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Exploring zero-shot structure-based protein fitness prediction Semantical and Geometrical Protein Encoding Toward Enhanced Bioactivity and Thermostability

Reference 44

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This paper cites UniProt : the Universal Protein Knowledgebase in 2023.

Exploring zero-shot structure-based protein fitness prediction UniProt : the Universal Protein Knowledgebase in 2023

Reference 45

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This paper cites Intrinsically disordered proteins: An overview.

Exploring zero-shot structure-based protein fitness prediction Intrinsically disordered proteins: An overview

Reference 46

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This paper cites Weinstein, Niall M.

Exploring zero-shot structure-based protein fitness prediction Weinstein, Niall M

Reference 47

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This paper cites Tuttle, Gemma Comellas, Andrew J.

Exploring zero-shot structure-based protein fitness prediction Tuttle, Gemma Comellas, Andrew J

Reference 48

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This paper cites Ulmer, Ad Bax, Nelson B.

Exploring zero-shot structure-based protein fitness prediction Ulmer, Ad Bax, Nelson B

Reference 49

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Exploring zero-shot structure-based protein fitness prediction Kim, Charlotte Tumescheit, Milot Mirdita, Jeongjae Lee, Cameron L

Reference 50

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This paper cites AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.

Exploring zero-shot structure-based protein fitness prediction AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences

Reference 51

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This paper cites Wang, Paul M.

Exploring zero-shot structure-based protein fitness prediction Wang, Paul M

Reference 52

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This paper cites GraphBind : protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues.

Exploring zero-shot structure-based protein fitness prediction GraphBind : protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues

Reference 53

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This paper cites Lal, James C.

Exploring zero-shot structure-based protein fitness prediction Lal, James C

Reference 54

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This paper cites Yang, Zachary Wu, and Frances H.

Exploring zero-shot structure-based protein fitness prediction Yang, Zachary Wu, and Frances H

Reference 55

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This paper cites Masked inverse folding with sequence transfer for protein representation learning.

Exploring zero-shot structure-based protein fitness prediction Masked inverse folding with sequence transfer for protein representation learning

Reference 56

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This paper cites Yang, Nicolo Fusi, and Alex X.

Exploring zero-shot structure-based protein fitness prediction Yang, Nicolo Fusi, and Alex X

Reference 57

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This paper cites Goodsell, Maria Voigt, and Stephen K.

Exploring zero-shot structure-based protein fitness prediction Goodsell, Maria Voigt, and Stephen K

Reference 58

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Observation d55701e5-c0f2-4bec-be10-0982450c9238 · outbound

This paper cites TM -align: a protein structure alignment algorithm based on the TM -score.

Exploring zero-shot structure-based protein fitness prediction TM -align: a protein structure alignment algorithm based on the TM -score

Reference 59

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Observation 6a28361a-f68c-402f-88dd-afed41d68cdf · outbound

This paper cites Wayment-Steele, Garyk Brixi, Haobo Wang, Dorothee Kern, and Sergey Ovchinnikov.

Exploring zero-shot structure-based protein fitness prediction Wayment-Steele, Garyk Brixi, Haobo Wang, Dorothee Kern, and Sergey Ovchinnikov

Reference 60

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Observation e1c992cf-b28d-45cf-8f0b-7baeacd8e025 · outbound

This paper cites @esa (Ref.

Exploring zero-shot structure-based protein fitness prediction @esa (Ref

Reference 61

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Exploring zero-shot structure-based protein fitness prediction Unresolved cited work

Reference 62

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Observation 547c02a7-78fe-463d-968f-24627d8ef36c · outbound

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Exploring zero-shot structure-based protein fitness prediction Unresolved cited work

Reference 63

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