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Protein Science
Article
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Protein Science
Article . 2002 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Protein Science
Article . 2002
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Docking of protein models

Authors: Andrei, Tovchigrechko; Christopher A, Wells; Ilya A, Vakser;

Docking of protein models

Abstract

Abstract An adequate description of entire genomes has to include information on the three‐dimensional (3D) structure of proteins. Most of these protein structures will be determined by high‐throughput modeling procedures. Thus, a structure‐based analysis of the network of protein–protein interactions in genomes requires docking methodologies that are capable of dealing with significant structural inaccuracies in the modeled structures of proteins. We present a systematic study of the applicability of our low‐resolution docking method to protein models of different accuracies. A representative nonredundant set of 475 cocrystallized protein–protein complexes was used to build an array of models of each protein in the set. A sophisticated procedure was created to generate the models with RMS deviations of 1, 2, 3, …, 10 Å from the crystal structure. The docking was performed for all the models, and the predictions were compared with the configurations of the original cocrystallized complexes. Statistical analysis showed that the low‐resolution docking can determine the gross structural features of protein–protein interactions for a significant percent of complexes of highly inaccurate protein models. Such predictions may serve as starting points for a more detailed structural analysis, as well as complement experimental and computational data on protein–protein interactions obtained by other techniques.

Related Organizations
Keywords

Models, Molecular, Binding Sites, Molecular Structure, Macromolecular Substances, Protein Conformation, Statistics as Topic, Proteins, Crystallography, X-Ray, Ligands, Aprotinin, Models, Chemical, Computer Simulation, Trypsin, Amino Acids, Databases, Protein, Algorithms

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
95
Top 10%
Top 10%
Top 10%
bronze