Author

P. Suriana

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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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:genetic perturbation / CRISPR· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Powers· 1 shared H. Yu· 1 shared R. Dror· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

A. Powers

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1 paper

Recent·Most cited

Fragment-Based Ligand Generation Guided By Geometric Deep Learning On Protein-Ligand Structure

A. Powers, H. Yu, P. Suriana, R. Dror

The paper develops a method to expand small fragment-like molecules bound to protein pockets into larger drug-like molecules using geometric deep learning.

bioRxiv · Mar 17, 2022 · PreprintBioengineering