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Cited by 326

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Ab Initio Folding of Proteins with All-Atom Discrete Molecular Dynamics

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Ding, Feng, Tsao, Douglas, Nie, Huifen, Dokholyan, Nikolay V.·2008·Structure

Abstract

Summary Discrete molecular dynamics (DMD) is a rapid sampling method used in protein folding and aggregation studies. Until now, DMD was used to perform simulations of simplified protein models in conjunction with structure-based force fields. Here, we develop an all-atom protein model and a transferable force field featuring packing, solvation, and environment-dependent hydrogen bond interactions. Using the replica exchange method, we perform folding simulations of six small proteins (20–60 residues) with distinct native structures. In all cases, native or near-native states are reached in simulations. For three small proteins, multiple folding transitions are observed and the computationally-characterized thermodynamics are in quantitative agreement with experiments. The predictive power of all-atom DMD highlights the importance of environment-dependent hydrogen bond interactions in modeling protein folding. The developed approach can be used for accurate and rapid sampling of conformational spaces of proteins and protein-protein complexes, and applied to protein engineering and design of protein-protein interactions.

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Metadata

Authors
Ding, F., Tsao, D., Nie, H., & Dokholyan, N. V.
Venue
Structure
Publisher
Elsevier BV
Published
2008-07
Volume
16
Issue
7
Pages
1010-1018
ISSN
0969-2126 (ISSN-L)
OpenAlex
W2107696550
Cited by
326
References
45
FWCI
5.09
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Ab Initio Folding of Proteins with All-Atom Discrete Molecular Dynamics. https://app.cochat.ai/papers/10.1016/j.str.2008.03.013
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Ding, F., Tsao, D., Nie, H., & Dokholyan, N. V. (2008). Ab Initio Folding of Proteins with All-Atom Discrete Molecular Dynamics. Structure. https://doi.org/10.1016/j.str.2008.03.013

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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