Literature DB >> 7809034

Comparison of systematic search and database methods for constructing segments of protein structure.

K Fidelis1, P S Stern, D Bacon, J Moult.   

Abstract

Two principal methods of determining the conformation of short pieces of polypeptide backbone in proteins have been developed: using a database of known structures and systematically generating all conformations. In this paper, we compare the effectiveness of these two techniques. The completeness of the database for segments of different lengths is examined and it is found to contain most conformations for segments seven residues long, but to deteriorate rapidly for longer regions. When the database segment is to be incorporated into the rest of a structure, at least seven residues are required to build four new residues, because of the need to position the segment relative to the rest of the structure. It is found that such positioning using flanking residues results in large errors in the inserted region. We conclude that the database method is currently not effective for comparative modeling, even for short segments. The systematic search procedure is found to generate almost all structures of short segments found in proteins. In contrast to the database method, low root mean square error structures are obtained for a set of trial segments embedded in the rest of a protein structure. Thus, it should be considered the method of choice.

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Year:  1994        PMID: 7809034     DOI: 10.1093/protein/7.8.953

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  33 in total

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5.  On the properties and sequence context of structurally ambivalent fragments in proteins.

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6.  Discrete restraint-based protein modeling and the Calpha-trace problem.

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Review 8.  Advances in homology protein structure modeling.

Authors:  Zhexin Xiang
Journal:  Curr Protein Pept Sci       Date:  2006-06       Impact factor: 3.272

9.  OPUS-Ca: a knowledge-based potential function requiring only Calpha positions.

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Journal:  Protein Sci       Date:  2007-07       Impact factor: 6.725

10.  Optimization of the GB/SA solvation model for predicting the structure of surface loops in proteins.

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