Author

Myeongsang Lee

National Institutes of HealthORCID 0000-0003-2078-6023Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 1

Frequent Co-Authors

Devlina ChakravartyiD· 2 shared Ethan A. Chen· 2 shared Joseph F. TholeiD· 2 shared Joseph W. SchaferiD· 2 shared Lauren L. PorteriD· 2 shared Leslie A. RonishiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Devlina ChakravartyORCID

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2 papers

Recent·Most cited

BioinformaticsNaturePeer-reviewedFeb 19, 2025

Sequence clustering confounds AlphaFold2

Joseph W. Schafer, Myeongsang Lee, Devlina Chakravarty…·Lauren L. Porter

The paper evaluates AF-cluster's performance on metamorphic proteins and finds random sequence sampling outperforms it, suggesting ColabFold-based methods as a better alternative.

38 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedAug 24, 2024

AlphaFold2 has more to learn about protein energy landscapes

Devlina Chakravarty, Joseph W. Schafer, Ethan A. Chen…·Lauren L. Porter

This study evaluates AlphaFold2's ability to predict fold-switching proteins and finds it has limited success in sampling multiple conformations and accurately assessing confidence metrics.

159 citationstop 1%

protein structuredeep learning

𝕏 PostBluesky