Author

Xiangru Tang

Yale UniversityORCID 0009-0006-2700-4513Unclaimed 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· 1 Approach:contrastive learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Mark GersteiniD· 2 shared Andrew Tran· 1 shared Anna Su· 1 shared Antonia Panescu· 1 shared Daniel Shao· 1 shared Dong XuiD· 1 shared Fang WuiD· 1 shared Guanlue Li· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Mark GersteinORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 28, 2024

BC-Design: A Biochemistry-Aware Framework for Inverse Protein Design

Xiangru Tang, Xinwu Ye, Fang Wu…·Mark Gerstein

BC-DO_SCPLOWESIGNC_SCPLOW improves inverse protein design by integrating continuous physicochemical properties with structural geometry, achieving high sequence recovery and functional design accuracy.

1 citation

protein sequencestatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMay 9, 2024

MolLM: A Unified Language Model for Integrating Biomedical Text with 2D and 3D Molecular Representations

Xiangru Tang, Andrew Tran, Jeffrey Too Chuan Tan, Mark Gerstein

MolLM integrates 2D and 3D molecular representations with biomedical text using a unified language model, improving performance on downstream tasks through contrastive learning.

23 citationstop 4%

protein structurecontrastive learning

𝕏 PostBluesky