Author

P. Eastman

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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Research Focus:software / tool· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

K. A. Beauchamp· 2 shared M. P. Harrigan· 2 shared R. T. McGibbon· 2 shared V. S. Pande· 2 shared A. C. Simmonett· 1 shared B. E. Husic· 1 shared B. R. Brooks· 1 shared C. D. Stern· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBiophysics

K. A. Beauchamp

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2 papers

Recent·Most cited

OpenMM 7: Rapid Development of High Performance Algorithms for Molecular Dynamics

P. Eastman, J. Swails, J. D. Chodera, R. T. McGibbon, Y. Zhao, K. A. Beauchamp, L.-P. Wang, A. C. Simmonett, M. P. Harrigan, C. D. Stern, R. P. Wiewiora, B. R. Brooks, V. S. Pande

OpenMM 7 enables rapid development of high-performance molecular dynamics algorithms with extensible features that work across hardware types without modifying the core toolkit.

bioRxiv · Jun 28, 2017Biophysics

MSMBuilder: Statistical Models for Biomolecular Dynamics

M. P. Harrigan, M. M. Sultan, C. X. Hernandez, B. E. Husic, P. Eastman, C. R. Schwantes, K. A. Beauchamp, R. T. McGibbon, V. S. Pande

MSMBuilder is a software package for building statistical models of high-dimensional time-series data, particularly for biomolecular dynamics, using methods like Markov State Models and HMMs.

bioRxiv · Oct 30, 2016Biophysics