Author

Colin A. Smith

Max Planck Institute for Multidisciplinary SciencesORCID 0000-0002-4651-167XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein structure· 1

Frequent Co-Authors

Amy B. GuoiD· 1 shared Christina Alexandra StephensiD· 1 shared Deniz AkpinarogluiD· 1 shared Helmut GrubmülleriD· 1 shared Malte SchäffneriD· 1 shared Mark J. S. KellyiD· 1 shared Michael GrabeiD· 1 shared Robert TampéiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioengineering

Amy B. GuoORCID

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2 papers

Recent·Most cited

BiophysicsJournal of Chemical Theory and ComputationPeer-reviewedFeb 4, 2026

Braess' Paradox in Enzyme Kinetics: Asymmetry from Population Balance without Direct Cooperativity

Malte Schäffner, Colin A. Smith, Robert Tampé, Helmut Grubmüller

The paper uses Bayesian Markov models to explain asymmetric ATP hydrolysis kinetics in ABCE1 without requiring direct cooperativity between nucleotide-binding sites.

DOI 10.1021/acs.jctc.5c01269

Bayesian inference

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BioengineeringSciencePeer-reviewedMay 22, 2025

Deep learning guided design of dynamic proteins

Amy B. Guo, Deniz Akpinaroglu, Christina Alexandra Stephens…·Tanja Kortemme

This paper designs dynamic proteins with switch-like behavior using deep learning, validated by structure solving and simulations showing controllable conformational changes.

83 citationstop 1%

protein structuredeep learning

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