scispace - formally typeset
D

David E. Shaw

Researcher at D. E. Shaw Research

Publications -  326
Citations -  50142

David E. Shaw is an academic researcher from D. E. Shaw Research. The author has contributed to research in topics: Massively parallel & G protein-coupled receptor. The author has an hindex of 88, co-authored 298 publications receiving 42616 citations. Previous affiliations of David E. Shaw include Protein Sciences & Genentech.

Papers
More filters
Proceedings ArticleDOI

A detailed and flexible cycle-accurate Network-on-Chip simulator

TL;DR: The simulator, BookSim, is designed for simulation flexibility and accurate modeling of network components and offers a large set of configurable network parameters in terms of topology, routing algorithm, flow control, and router microarchitecture, including buffer management and allocation schemes.
Journal ArticleDOI

Systematic validation of protein force fields against experimental data.

TL;DR: The results suggest that force fields have improved over time, and that the most recent versions, while not perfect, provide an accurate description of many structural and dynamical properties of proteins.
Journal ArticleDOI

Water Dispersion Interactions Strongly Influence Simulated Structural Properties of Disordered Protein States

TL;DR: A new water model is created, TIP4P-D, that approximately corrects for deficiencies in modeling water dispersion interactions while maintaining compatibility with existing physics-based models and represents a significant step toward extending the range of applicability of MD simulations to include the study of (partially or fully) disordered protein states.
Journal ArticleDOI

How does a drug molecule find its target binding site

TL;DR: The technique employed, which does not assume any prior knowledge of the binding site's location, may prove particularly useful in the development of allosteric inhibitors that target previously undiscovered binding sites.
Journal ArticleDOI

Pathway and mechanism of drug binding to G-protein-coupled receptors

TL;DR: An atomic-level description of the binding process suggests opportunities for allosteric modulation and provides a structural foundation for future optimization of drug–receptor binding and unbinding rates.