Author

Simon Kretschmer

University of California, San FranciscoORCID 0000-0002-0825-174XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Tanja KortemmeiD· 2 shared Amy B. GuoiD· 1 shared Connor V. Galvin· 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

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioengineering

Tanja KortemmeORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintApr 15, 2026

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…·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.

1 citation

protein structuredeep learning

𝕏 PostBluesky

Synthetic BiologyACS Synthetic BiologyPeer-reviewedJun 14, 2023

Multi-input drug-controlled switches of mammalian gene expression based on engineered nuclear hormone receptors

Simon Kretschmer, Nicholas Thomas Perry, Sunny Zhang, Tanja Kortemme

The paper demonstrates multi-input drug-controlled gene expression using engineered nuclear hormone receptors, showing tunable outputs with multiple drugs.

3 citations

experimental assaydrug response / drug discovery

𝕏 PostBluesky