Literature DB >> 12021456

Fold recognition without folds.

Kristin K Koretke1, Robert B Russell, Andrei N Lupas.   

Abstract

Fold recognition predicts protein three-dimensional structure by establishing relationships between a protein sequence and known protein structures. Most methods explicitly use information derived from the secondary and tertiary structure of the templates. Here we show that rigorous application of a sequence search method (PSI-BLAST) with no reference to secondary or tertiary structure information is able to perform as well as traditional fold recognition methods. Since the method, SENSER, does not require knowledge of the three-dimensional structure, it can be used to infer relationships that are not tractable by methods dependent on structural templates.

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Year:  2002        PMID: 12021456      PMCID: PMC2373620          DOI: 10.1110/ps.3590102

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  25 in total

1.  Fold recognition using sequence and secondary structure information.

Authors:  K K Koretke; R B Russell; R R Copley; A N Lupas
Journal:  Proteins       Date:  1999

2.  Multiple protein sequence alignment from tertiary structure comparison: assignment of global and residue confidence levels.

Authors:  R B Russell; G J Barton
Journal:  Proteins       Date:  1992-10

3.  Protein fold recognition by mapping predicted secondary structures.

Authors:  R B Russell; R R Copley; G J Barton
Journal:  J Mol Biol       Date:  1996-06-14       Impact factor: 5.469

4.  Prediction and analysis of coiled-coil structures.

Authors:  A Lupas
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

5.  Analysis of compositionally biased regions in sequence databases.

Authors:  J C Wootton; S Federhen
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

6.  Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.

Authors:  M J Sippl
Journal:  J Mol Biol       Date:  1990-06-20       Impact factor: 5.469

7.  Extracting protein alignment models from the sequence database.

Authors:  A F Neuwald; J S Liu; D J Lipman; C E Lawrence
Journal:  Nucleic Acids Res       Date:  1997-05-01       Impact factor: 16.971

8.  The solution structure of VAT-N reveals a 'missing link' in the evolution of complex enzymes from a simple betaalphabetabeta element.

Authors:  M Coles; T Diercks; J Liermann; A Gröger; B Rockel; W Baumeister; K K Koretke; A Lupas; J Peters; H Kessler
Journal:  Curr Biol       Date:  1999-10-21       Impact factor: 10.834

9.  A sequence property approach to searching protein databases.

Authors:  U Hobohm; C Sander
Journal:  J Mol Biol       Date:  1995-08-18       Impact factor: 5.469

10.  Hidden Markov models in computational biology. Applications to protein modeling.

Authors:  A Krogh; M Brown; I S Mian; K Sjölander; D Haussler
Journal:  J Mol Biol       Date:  1994-02-04       Impact factor: 5.469

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