Author

M. Kshirsagar

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

Biology Disciplines

Click to filter author papers

Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Meller· 1 shared F. Oviedo· 1 shared G. R. Bowman· 1 shared J. Borowsky· 1 shared J. Lavista Ferres· 1 shared J. M. Lotthammer· 1 shared M. Ward· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiophysics

A. Meller

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network

A. Meller, M. Ward, J. Borowsky, J. M. Lotthammer, M. Kshirsagar, F. Oviedo, J. Lavista Ferres, G. R. Bowman

The paper introduces PocketMiner, a graph neural network that predicts cryptic pockets in proteins, identifying them accurately and rapidly, expanding the druggable proteome.

bioRxiv · Jun 28, 2022 · PreprintBiophysics