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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

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

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

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.