Author

Chiho Im

Massachusetts Institute of TechnologyPrimary ORCID profile (0000-0003-1909-3297 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Chiho ImiD2 papers · Stanford University

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Abhinav GuptaiD· 1 shared Bonnie BergeriD· 1 shared Brian C. MacknessiD· 1 shared Bryan D. BrysoniD· 1 shared Lena ErlachiD· 1 shared Maria WendtiD· 1 shared Rohit SinghiD· 1 shared Samuel SledzieskiiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abhinav GuptaORCID

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1 paper

Recent·Most cited

Learning the Language of Antibody Hypervariability

Rohit Singh, Chiho Im, Yu Qiu, Brian C. Mackness, Abhinav Gupta, Taylor Joren, Samuel Sledzieski, Lena Erlach, Maria Wendt, Yves Fomekong‐Nanfack, Bryan D. Bryson, Bonnie Berger

This paper introduces AbMAP, a transfer learning framework for antibody sequence analysis, showing it can predict structure, binding, and paratope with high accuracy and enable antibody optimization.

Proceedings of the National Academy of Sciences · Dec 30, 2024Peer-reviewedBioinformatics