Author

Anant Kharkar

Columbia University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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

Charlotte RochereauiD· 1 shared Christina FloristeaniD· 1 shared George McDonald ChurchiD· 1 shared Gustaf AhdritziD· 1 shared Joanna T. ZhangiD· 1 shared Koushik RoyiD· 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

Charlotte RochereauORCID

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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