journal article Nov 05, 2010

Automated minimization of steric clashes in protein structures

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Abstract
AbstractMolecular modeling of proteins including homology modeling, structure determination, and knowledge‐based protein design requires tools to evaluate and refine three‐dimensional protein structures. Steric clash is one of the artifacts prevalent in low‐resolution structures and homology models. Steric clashes arise due to the unnatural overlap of any two nonbonding atoms in a protein structure. Usually, removal of severe steric clashes in some structures is challenging since many existing refinement programs do not accept structures with severe steric clashes. Here, we present a quantitative approach of identifying steric clashes in proteins by defining clashes based on the Van der Waals repulsion energy of the clashing atoms. We also define a metric for quantitative estimation of the severity of clashes in proteins by performing statistical analysis of clashes in high‐resolution protein structures. We describe a rapid, automated, and robust protocol, Chiron, which efficiently resolves severe clashes in low‐resolution structures and homology models with minimal perturbation in the protein backbone. Benchmark studies highlight the efficiency and robustness of Chiron compared with other widely used methods. We provide Chiron as an automated web server to evaluate and resolve clashes in protein structures that can be further used for more accurate protein design. Proteins 2010. © 2010 Wiley‐Liss, Inc.
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References
27
[1]
Design of a Novel Globular Protein Fold with Atomic-Level Accuracy

Brian Kuhlman, Gautam Dantas, Gregory C. Ireton et al.

Science 10.1126/science.1089427
[2]
Protein Structure Fitting and Refinement Guided by Cryo-EM Density

Maya Topf, Keren Lasker, Ben Webb et al.

Structure 10.1016/j.str.2007.11.016
[3]
Integration of Small-Angle X-Ray Scattering Data into Structural Modeling of Proteins and Their Assemblies

Friedrich Förster, Benjamin Webb, Kristin A. Krukenberg et al.

Journal of Molecular Biology 10.1016/j.jmb.2008.07.074
[4]
Outcome of a Workshop on Applications of Protein Models in Biomedical Research

Torsten Schwede, Andrej Šali, Barry Honig et al.

Structure 10.1016/j.str.2008.12.014
[5]
Errors in protein structures

Rob W. W. Hooft, Gert Vriend, Chris Sander et al.

Nature 10.1038/381272a0
[6]
Quality control of protein models: directional atomic contact analysis

G. Vriend, Chris Sander

Journal of Applied Crystallography 10.1107/s0021889892008240
[7]
MolProbity: all-atom contacts and structure validation for proteins and nucleic acids

I. W. Davis, A. Leaver-Fay, V. B. Chen et al.

Nucleic Acids Research 10.1093/nar/gkm216
[8]
Practically Useful: What the R osetta Protein Modeling Suite Can Do for You

Kristian W. Kaufmann, Gordon H. Lemmon, Samuel L. DeLuca et al.

Biochemistry 10.1021/bi902153g
[9]
MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology

Michael Feig, John Karanicolas, Charles L. Brooks

Journal of Molecular Graphics and Modelling 10.1016/j.jmgm.2003.12.005
[10]
Fast procedure for reconstruction of full‐atom protein models from reduced representations

Piotr Rotkiewicz, Jeffrey Skolnick

Journal of Computational Chemistry 10.1002/jcc.20906
[11]
Ab Initio Folding of Proteins with All-Atom Discrete Molecular Dynamics

Feng Ding, Douglas Tsao, Huifen Nie et al.

Structure 10.1016/j.str.2008.03.013
[12]
Discrete molecular dynamics studies of the folding of a protein-like model

Nikolay V. Dokholyan, Sergey V. Buldyrev, H Eugene Stanley et al.

Folding and Design 10.1016/s1359-0278(98)00072-8
[13]
CHARMM: A program for macromolecular energy, minimization, and dynamics calculations

Bernard R. Brooks, Robert E. Bruccoleri, Barry D. Olafson et al.

Journal of Computational Chemistry 10.1002/jcc.540040211
[14]
Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determination

A. T. Brünger, P. D. Adams, G. M. Clore et al.

Acta Crystallographica Section D Biological Crysta... 1998 10.1107/s0907444998003254
[15]
The Protein Data Bank

H. M. Berman

Nucleic Acids Research 10.1093/nar/28.1.235
[16]
The SWISS-MODEL Repository and associated resources

F. Kiefer, Konstantin Arnold, M. Kunzli et al.

Nucleic Acids Research 10.1093/nar/gkn750
[17]
Emergence of Protein Fold Families through Rational Design

Feng Ding, Nikolay V Dokholyan

PLOS Computational Biology 10.1371/journal.pcbi.0020085
[18]
Modeling Backbone Flexibility Improves Protein Stability Estimation

Shuangye Yin, Feng Ding, Nikolay V. Dokholyan

Structure 10.1016/j.str.2007.09.024
[19]
Effective energy function for proteins in solution

Themis Lazaridis, Martin Karplus

Proteins: Structure, Function, and Bioinformatics 10.1002/(sici)1097-0134(19990501)35:2<133::aid-prot1>3.0.co;2-n
[20]
Anderson HC "Molecular dynamics simulations at constant pressure and/or temperature" J Chem Phys (1980)
[21]
GROMACS: Fast, flexible, and free

David van der Spoel, Erik Lindahl, Berk Hess et al.

Journal of Computational Chemistry 10.1002/jcc.20291
[23]
Exploring protein native states and large‐scale conformational changes with a modified generalized born model

Alexey Onufriev, Donald Bashford, David A. Case

Proteins: Structure, Function, and Bioinformatics 10.1002/prot.20033
[24]
Canonical sampling through velocity rescaling

Giovanni Bussi, Davide Donadio, Michele Parrinello

The Journal of Chemical Physics 10.1063/1.2408420
[25]
Rapid approximation to molecular surface area via the use of Boolean logic and look‐up tables

Scott M. Le Grand, Kenneth M. Merz

Journal of Computational Chemistry 10.1002/jcc.540140309
[26]
Bayesian statistical analysis of protein side‐chain rotamer preferences

Roland L. Dunbrack, Fred E. Cohen

Protein Science 10.1002/pro.5560060807
[27]
Improved prediction of protein side‐chain conformations with SCWRL4

Georgii G. Krivov, Maxim V. Shapovalov, Roland L. Dunbrack

Proteins: Structure, Function, and Bioinformatics 10.1002/prot.22488
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384
Citations
27
References
Details
Published
Nov 05, 2010
Vol/Issue
79(1)
Pages
261-270
License
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Cite This Article
Srinivas Ramachandran, Pradeep Kota, Feng Ding, et al. (2010). Automated minimization of steric clashes in protein structures. Proteins: Structure, Function, and Bioinformatics, 79(1), 261-270. https://doi.org/10.1002/prot.22879
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