Author

Divya Kranthi

University of California, San Francisco

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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Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 1 Organism:mouse· 1 Assay:protein structure· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Allan I. BasbaumiD· 1 shared Amy B. GuoiD· 1 shared Brendan W. HalliD· 1 shared Brian K. ShoichetiD· 1 shared Connor V. Galvin· 1 shared Dmytro S. RadchenkoiD· 1 shared Dominic GrisingheriD· 1 shared H. Eric XuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

Allan I. BasbaumORCID

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2 papers

Recent·Most cited

Structure based discovery of antipsychotic-like TAAR1 agonists

Sijie Huang, Heng Liu, Yujin Wu, Joao M. Braz, Divya Kranthi, Brendan W. Hall, Xinyue Zhang, Dmytro S. Radchenko, Yurii S. Moroz, John J. Irwin, Allan I. Basbaum, H. Eric Xu, William C. Wetsel, Brian K. Shoichet

The paper identifies TAAR1 agonists with antipsychotic-like effects through computational screening and experimental validation, showing improved potency and reduced side effects in a schizophrenia model.

Nature Communications · Sep 17, 2026Peer-reviewedBiochemistry

A Hybrid Physics-Deep Learning Framework for Combinatorial De Novo Design of Small-Molecule Binding Proteins

Connor V. Galvin, Amy B. Guo, Maple N. Chen, Isabella Alfonso, Dominic Grisingher, Simon Kretschmer, Divya Kranthi, Mark J. S. Kelly, Tanja Kortemme

This paper introduces a hybrid physics-deep learning framework for designing small-molecule binding proteins, achieving experimental success in binding affinity and structural accuracy.

bioRxiv · Apr 15, 2026 · PreprintBioengineering