Blind protein structure prediction using accelerated free-energy simulations-Reference-Cited by-同舟云学术

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Blind protein structure prediction using accelerated free-energy simulations

Published:2016-11-04 Issue:11 Volume:2 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Perez Alberto¹^ORCID,Morrone Joseph A.¹,Brini Emiliano¹,MacCallum Justin L.²,Dill Ken A.¹³⁴

Affiliation:

1. Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.

2. Department of Chemistry, University of Calgary, Calgary, Alberta T2N 1N4, Canada.

3. Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA.

4. Department of Physics Astronomy, Stony Brook University, Stony Brook, NY 11794, USA.

Abstract

Protein structures can be predicted by combining atomistic simulations and coarse information.

Funder

National Institutes of Health

NSF Office of the Director

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference41 articles.

1. Protein Structure Prediction and Structural Genomics

2. The Protein-Folding Problem, 50 Years On

3. A decade of CASP: Progress, bottlenecks and prognosis in protein structure prediction;Moult J.;Curr. Opin. Struct. Biol.,2005

4. Determining protein structures by combining semireliable data with atomistic physical models by Bayesian inference;MacCallum J. L.;Proc. Natl. Acad. Sci. U.S.A.,2015

5. Accelerating molecular simulations of proteins using Bayesian inference on weak information;Perez A.;Proc. Natl. Acad. Sci. U.S.A.,2015

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