Literature DB >> 8433995

Three-dimensional profiles from residue-pair preferences: identification of sequences with beta/alpha-barrel fold.

M Wilmanns1, D Eisenberg.   

Abstract

The three-dimensional profile method expresses the three-dimensional structure of a protein as a table, the profile, which represents the local environment of each residue. The score of an amino acid sequence, aligned with the three-dimensional profile, reflects its compatibility with the profiled structure. In the original implementation, each local environment was characterized by its polarity, the area buried of its side chain, and its secondary structure. Here we describe a modified three-dimensional profile algorithm that characterizes the local environment in terms of the statistical preferences of the profiled residue for neighbors of specific residue types, main-chain conformations, or secondary structure. Combined profiles of the original and the three new types were tested on beta/alpha-barrel protein structures. The method identified the following enzymes of unknown three-dimensional structure as probable beta/alpha-barrels, all of which catalyze reactions in the biosynthesis of aromatic amino acids: anthranilate phosphoribosyltransferase (trpD), glutamine amidotransferase (trpG), and phosphoribosylformimino-5-aminoimidazole carboxamide ribotide isomerase (hisA).

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Year:  1993        PMID: 8433995      PMCID: PMC45876          DOI: 10.1073/pnas.90.4.1379

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

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Authors:  A Godzik; A Kolinski; J Skolnick
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2.  Medium- and long-range interaction parameters between amino acids for predicting three-dimensional structures of proteins.

Authors:  S Tanaka; H A Scheraga
Journal:  Macromolecules       Date:  1976 Nov-Dec       Impact factor: 5.985

3.  Structural principles of parallel beta-barrels in proteins.

Authors:  I Lasters; S J Wodak; P Alard; E van Cutsem
Journal:  Proc Natl Acad Sci U S A       Date:  1988-05       Impact factor: 11.205

Review 4.  Structure-derived hydrophobic potential. Hydrophobic potential derived from X-ray structures of globular proteins is able to identify native folds.

Authors:  G Casari; M J Sippl
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5.  A new approach to protein fold recognition.

Authors:  D T Jones; W R Taylor; J M Thornton
Journal:  Nature       Date:  1992-07-02       Impact factor: 49.962

6.  Selection of representative protein data sets.

Authors:  U Hobohm; M Scharf; R Schneider; C Sander
Journal:  Protein Sci       Date:  1992-03       Impact factor: 6.725

7.  Improved tools for biological sequence comparison.

Authors:  W R Pearson; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1988-04       Impact factor: 11.205

8.  Profile analysis: detection of distantly related proteins.

Authors:  M Gribskov; A D McLachlan; D Eisenberg
Journal:  Proc Natl Acad Sci U S A       Date:  1987-07       Impact factor: 11.205

9.  Prediction of secondary structure by evolutionary comparison: application to the alpha subunit of tryptophan synthase.

Authors:  I P Crawford; T Niermann; K Kirschner
Journal:  Proteins       Date:  1987

10.  Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.

Authors:  W Kabsch; C Sander
Journal:  Biopolymers       Date:  1983-12       Impact factor: 2.505

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  17 in total

1.  Scoring functions in protein folding and design.

Authors:  R I Dima; J R Banavar; A Maritan
Journal:  Protein Sci       Date:  2000-04       Impact factor: 6.725

2.  Feasibility in the inverse protein folding protocol.

Authors:  M Ota; K Nishikawa
Journal:  Protein Sci       Date:  1999-05       Impact factor: 6.725

3.  The directional atomic solvation energy: an atom-based potential for the assignment of protein sequences to known folds.

Authors:  Parag Mallick; Robert Weiss; David Eisenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

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5.  A more structured metabolome.

Authors:  Matthew J Betts; Robert B Russell
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Review 6.  Knowledge-based model building of proteins: concepts and examples.

Authors:  J Bajorath; R Stenkamp; A Aruffo
Journal:  Protein Sci       Date:  1993-11       Impact factor: 6.725

7.  Protein fold recognition using sequence-derived predictions.

Authors:  D Fischer; D Eisenberg
Journal:  Protein Sci       Date:  1996-05       Impact factor: 6.725

8.  A distant evolutionary relationship between bacterial sphingomyelinase and mammalian DNase I.

Authors:  Y Matsuo; A Yamada; K Tsukamoto; H Tamura; H Ikezawa; H Nakamura; K Nishikawa
Journal:  Protein Sci       Date:  1996-12       Impact factor: 6.725

9.  Protein structural similarities predicted by a sequence-structure compatibility method.

Authors:  Y Matsuo; K Nishikawa
Journal:  Protein Sci       Date:  1994-11       Impact factor: 6.725

10.  Divergent evolution of a beta/alpha-barrel subclass: detection of numerous phosphate-binding sites by motif search.

Authors:  P Bork; J Gellerich; H Groth; R Hooft; F Martin
Journal:  Protein Sci       Date:  1995-02       Impact factor: 6.725

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