Author

Atharva Kelkar

Freie Universität BerlinORCID 0000-0002-7693-549XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Andrea Guljas· 1 shared Cecilia ClementiiD· 1 shared Frank NoéiD· 1 shared Patrick BryantiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Andrea Guljas

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1 paper

Recent·Most cited

Structure prediction of protein-ligand complexes from sequence information with Umol

Patrick Bryant, Atharva Kelkar, Andrea Guljas, Cecilia Clementi, Frank Noé

This paper introduces Umol, an AI system that predicts protein-ligand complex structures from sequence and ligand SMILES, outperforming existing methods at high accuracy.

bioRxiv · Nov 3, 2023 · PreprintBioinformatics