Author

Koushik Roy

Columbia UniversityORCID 0000-0002-9525-7196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Anant Kharkar· 1 shared Charlotte RochereauiD· 1 shared Christina FloristeaniD· 1 shared George McDonald ChurchiD· 1 shared Gustaf AhdritziD· 1 shared Joanna T. ZhangiD· 1 shared Mohammed AlQuraishiiD· 1 shared Nazim BouattaiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anant Kharkar

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1 paper

Recent·Most cited

Single-sequence protein structure prediction using language models from deep learning

Ratul Chowdhury, Nazim Bouatta, Surojit Biswas, Christina Floristean, Anant Kharkar, Koushik Roy, Charlotte Rochereau, Gustaf Ahdritz, Joanna T. Zhang, George McDonald Church, Peter Karl Sorger, Mohammed AlQuraishi

This paper introduces RGN2, a deep learning model that predicts protein structure from single sequences without MSAs, outperforming AlphaFold2 and RoseTTAFold on orphan proteins and achieving faster computation.

Nature Biotechnology · Oct 3, 2022Peer-reviewedBioinformatics