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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Proteins Structure F...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Proteins Structure Function and Bioinformatics
Article . 1995 . Peer-reviewed
License: Wiley Online Library User Agreement
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Homology modeling by the ICM method

Authors: T, Cardozo; M, Totrov; R, Abagyan;

Homology modeling by the ICM method

Abstract

AbstractFive models have been built by the ICM method for the Comparative Modeling section of the Meeting on the Critical Assessment of Techniques for Protein Structure Prediction. The targets have homologous proteins with known three‐dimensional structure with sequence identity ranging from 25 to 77%. After alignment of the target sequence with the related three‐dimensional structure, the modeling procedure consists of two subproblems: side‐chain prediction and loop prediction. The ICM method approaches these problems with the following steps: (1) a starting model is created based on the homologous structure with the conserved portion fixed and the noncon‐served portion having standard covalent geometry and free torsion angles; (2) the Biased Probability Monte Carlo (BPMC) procedure is applied to search the subspaces of either all the nonconservative side‐chain torsion angles or torsion angles in a loop backbone and surrounding side chains. A special algorithm was designed to generate low‐energy loop deformations. The BPMC procedure globally optimizes the energy function consisting of ECEPP/3 and solvation energy terms. Comparison of the predictions with the NMR or crystallographic solutions reveals a high proportion of correctly predicted side chains. The loops were not correctly predicted because imprinted distortions of the backbone increased the energy of the near‐native conformation and thus made the solution unrecognizable. Interestingly, the energy terms were found to be reliable and the sampling of conformational space sufficient. The implications of this finding for the strategies of future comparative modeling are discussed. © 1995 Wiley‐Liss, Inc.

Related Organizations
Keywords

Models, Molecular, Databases, Factual, Sequence Homology, Amino Acid, Protein Conformation, Receptors, Retinoic Acid, Proteins, Protein Structure, Secondary, Antibodies, Anti-Idiotypic, Mixed Function Oxygenases, Protein Structure, Tertiary, Bacterial Proteins, Cytochrome P-450 Enzyme System, Nucleoside-Diphosphate Kinase, Computer Graphics, Computer Simulation, Muramidase, Phosphoenolpyruvate Sugar Phosphotransferase System, Monte Carlo Method, Sequence Alignment, Helix-Turn-Helix Motifs

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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!
164
Top 10%
Top 1%
Top 10%
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