Author

Kyle A. Barlow

University of California, San FranciscoORCID 0000-0002-9787-0066Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Tanja KortemmeiD· 2 shared Ajasja LjubetičiD· 1 shared Alexander M. WolffiD· 1 shared Alison M. MaxwelliD· 1 shared Amanda L. LoshbaughiD· 1 shared Amelie SteiniD· 1 shared Ameya HarmalkariD· 1 shared Andrew Leaver‐FayiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Tanja KortemmeORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 29, 2021

Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks

Julia Koehler Leman, Sergey Lyskov, Steven Macauley Lewis…·Richard Bonneau

The paper presents a framework for ensuring reproducibility in bio-macromolecular modeling through automated benchmarks and a test server, demonstrating its utility for Rosetta and other tools.

26 citations

experimental assaybenchmarking

𝕏 PostBluesky

BioinformaticsBiology OpenPeer-reviewedJul 15, 2018

Extending Chemical Perturbations Of The Ubiquitin Fitness Landscape In A Classroom Setting

David Mavor, Kyle A. Barlow, Daniel E. Asarnow…·James S. Fraser

The paper uses deep mutational scanning to explore how chemical perturbations affect ubiquitin's mutational tolerance, revealing sensitization of most positions except two.

25 citations

proteomicsdeep learning

𝕏 PostBluesky