Author

Connor V. Galvin

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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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Amy B. GuoiD· 1 shared Divya Kranthi· 1 shared Dominic GrisingheriD· 1 shared Isabella AlfonsoiD· 1 shared Maple N. CheniD· 1 shared Mark J. S. KellyiD· 1 shared Simon KretschmeriD· 1 shared Tanja KortemmeiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioengineering

Amy B. GuoORCID

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1 paper

Recent·Most cited

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