J
John L. Klepeis
Researcher at D. E. Shaw Research
Publications - 21
Citations - 10432
John L. Klepeis is an academic researcher from D. E. Shaw Research. The author has contributed to research in topics: Software & Parallel algorithm. The author has an hindex of 14, co-authored 21 publications receiving 8577 citations.
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Journal ArticleDOI
Improved side‐chain torsion potentials for the Amber ff99SB protein force field
Kresten Lindorff-Larsen,Stefano Piana,Kim Palmo,Paul Maragakis,John L. Klepeis,Ron O. Dror,David E. Shaw,David E. Shaw +7 more
TL;DR: A new force field, which is termed Amber ff99SB‐ILDN, exhibits considerably better agreement with the NMR data and is validated against a large set of experimental NMR measurements that directly probe side‐chain conformations.
Proceedings ArticleDOI
Scalable algorithms for molecular dynamics simulations on commodity clusters
Kevin J. Bowers,Edmond Chow,Huafeng Xu,Ron O. Dror,Michael P. Eastwood,Brent A. Gregersen,John L. Klepeis,István Kolossváry,Mark A. Moraes,Federico D. Sacerdoti,John K. Salmon,Yibing Shan,David E. Shaw +12 more
TL;DR: This work presents several new algorithms and implementation techniques that significantly accelerate parallel MD simulations compared with current state-of-the-art codes, including a novel parallel decomposition method and message-passing techniques that reduce communication requirements, as well as novel communication primitives that further reduce communication time.
Journal ArticleDOI
Anton, a special-purpose machine for molecular dynamics simulation
David E. Shaw,Martin M. Deneroff,Ron O. Dror,Jeffrey S. Kuskin,Richard H. Larson,John K. Salmon,Cliff Young,Brannon Batson,Kevin J. Bowers,Jack C. Chao,Michael P. Eastwood,Joseph Gagliardo,J. P. Grossman,C. Richard Ho,Douglas J. Ierardi,István Kolossváry,John L. Klepeis,Timothy Layman,Christine McLeavey,Mark A. Moraes,Rolf Mueller,Edward C. Priest,Yibing Shan,Jochen Spengler,Michael Theobald,Brian Towles,Stanley C. Wang +26 more
TL;DR: A massively parallel machine called Anton is described, which should be capable of executing millisecond-scale classical MD simulations of such biomolecular systems and has been designed to use both novel parallel algorithms and special-purpose logic to dramatically accelerate those calculations that dominate the time required for a typical MD simulation.
Journal ArticleDOI
Long-timescale molecular dynamics simulations of protein structure and function.
TL;DR: Recent advances in algorithms, software, and computer hardware have made microsecond-timescale simulations with tens of thousands of atoms practical, with millisecond- timescale simulations on the horizon.
Journal ArticleDOI
Assessing the accuracy of physical models used in protein-folding simulations: quantitative evidence from long molecular dynamics simulations.
TL;DR: The extent to which current force fields reproduce (and fail to reproduce) certain relevant properties for which such comparisons are possible is examined.