Author

Kyle A Beauchamp

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:software / tool· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:multiome· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Carlos X Hernández· 1 shared Christian R Schwantes· 1 shared Daniel L Parton· 1 shared Jason M Swails· 1 shared John D Chodera· 1 shared Lee-Ping Wang· 1 shared Matthew P Harrigan· 1 shared Patrick B Grinaway· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Carlos X Hernández

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2 papers

Recent·Most cited

Ensembler: Enabling high-throughput molecular simulations at the superfamily scale

Daniel L Parton, Patrick B Grinaway, Sonya M Hanson, Kyle A Beauchamp, John D Chodera

Ensembler automates the preparation of protein structures for high-throughput molecular simulations across entire superfamilies.

PLOS Computational Biology · Jun 23, 2016Peer-reviewedBioinformatics

MDTraj: a modern, open library for the analysis of molecular dynamics trajectories

Robert T McGibbon, Kyle A Beauchamp, Christian R Schwantes, Lee-Ping Wang, Carlos X Hernández, Matthew P Harrigan, Thomas J Lane, Jason M Swails, Vijay S Pande

MDTraj is a software package for analyzing molecular dynamics trajectories, offering RMSD, DSSP, and order parameter calculations with Python interoperability.

Biophysical Journal · Oct 1, 2015Peer-reviewedBioinformatics