Literature DB >> 10966776

An integrated approach to the analysis and modeling of protein sequences and structures. I. Protein structural alignment and a quantitative measure for protein structural distance.

A S Yang1, B Honig.   

Abstract

We have devised and implemented in PrISM (protein informatics system for modeling) a new measure of protein structural relationships, the protein structural distance (PSD). The PSD is designed to describe relationships between protein structures in quantitative rather than descriptive terms and is applicable both when two structures are very similar, and when they are very different. It is calculated with a structural alignment procedure that uses double dynamic programming to align secondary structure elements and an iterative rigid body superposition that minimizes the root-mean-square deviation of C(alpha) atoms. The alignment algorithm, as implemented on a modest workstation, is computationally efficient, allowing for large-scale structural comparisons. PSD scores for more than one and a half million pairs of proteins were calculated and compared to the discrete classification of proteins in the SCOP database. The PSD scores, which were obtained automatically, are in large part consistent with the manually derived classifications in SCOP. Discrepancies do arise, however, due, in part, to the fact that SCOP uses criteria other than structural similarity to derive classifications while the PrISM procedure is exclusively structure based. Analysis of PSD scores suggests that there is a continuous aspect of protein conformation space, even though various classification schemes are extremely useful. The use of a continuous measure for structural distance between all pairs of proteins allows us, as described in the two accompanying papers to derive sequence/structure relationships in a more quantitative way than has previously been possible. An important strength of the approach implemented in PrISM is its ability to address many different kinds of queries interactively, making its structural comparison procedure a convenient computational tool that complements structural classification databases such as SCOP and CATH. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10966776     DOI: 10.1006/jmbi.2000.3973

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  72 in total

1.  A normalized root-mean-square distance for comparing protein three-dimensional structures.

Authors:  O Carugo; S Pongor
Journal:  Protein Sci       Date:  2001-07       Impact factor: 6.725

2.  MAMMOTH (matching molecular models obtained from theory): an automated method for model comparison.

Authors:  Angel R Ortiz; Charlie E M Strauss; Osvaldo Olmea
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

3.  FoldMiner: structural motif discovery using an improved superposition algorithm.

Authors:  Jessica Shapiro; Douglas Brutlag
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

4.  Multiple structural alignment by secondary structures: algorithm and applications.

Authors:  Oranit Dror; Hadar Benyamini; Ruth Nussinov; Haim J Wolfson
Journal:  Protein Sci       Date:  2003-11       Impact factor: 6.725

5.  Solution structure of Vibrio cholerae protein VC0424: a variation of the ferredoxin-like fold.

Authors:  Theresa A Ramelot; Shuisong Ni; Sharon Goldsmith-Fischman; John R Cort; Barry Honig; Michael A Kennedy
Journal:  Protein Sci       Date:  2003-07       Impact factor: 6.725

Review 6.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

7.  Database searching by flexible protein structure alignment.

Authors:  Yuzhen Ye; Adam Godzik
Journal:  Protein Sci       Date:  2004-07       Impact factor: 6.725

8.  Structural effects of an LQT-3 mutation on heart Na+ channel gating.

Authors:  M Tateyama; H Liu; A-S Yang; J W Cormier; R S Kass
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

9.  Helical packing patterns in membrane and soluble proteins.

Authors:  Marina Gimpelev; Lucy R Forrest; Diana Murray; Barry Honig
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

10.  Identification of DNA-binding proteins using structural, electrostatic and evolutionary features.

Authors:  Guy Nimrod; András Szilágyi; Christina Leslie; Nir Ben-Tal
Journal:  J Mol Biol       Date:  2009-02-20       Impact factor: 5.469

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