Author

R. M. Vernon

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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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

J. D. Forman-Kay· 2 shared A. A. Shamandy· 1 shared A. Namini· 1 shared H. Cai· 1 shared J. Li· 1 shared J. M. C. Teixeira· 1 shared L. Yu· 1 shared M. Haghighatlari· 1 shared

Activity by Year

2022-2022 · peak 2/yr

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10 top collaborators · 37 mutual co-author links

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2 shared papersBiophysics

J. D. Forman-Kay

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2 papers

Recent·Most cited

An interpretable machine learning algorithm to predict disordered protein phase separation based on biophysicalinteractions

H. Cai, R. M. Vernon, J. D. Forman-Kay

The paper introduces LLPhyScore, a machine learning tool that predicts IDR-driven protein phase separation by analyzing biophysical interactions and provides interpretable feature contributions.

bioRxiv · Jul 6, 2022Biophysics

IDPConformerGenerator: A Flexible Software Suite for Sampling Conformational Space of Disordered Protein States

J. M. C. Teixeira, Z. H. Liu, A. Namini, J. Li, R. M. Vernon, M. Krzeminski, A. A. Shamandy, O. Zhang, M. Haghighatlari, L. Yu, T. Head-Gordon, J. D. Forman-Kay

IDPConformerGenerator generates diverse ensembles of disordered protein states using physical restraints and machine learning, enabling structural analysis of intrinsically disordered proteins.

bioRxiv · May 28, 2022Biophysics