Literature DB >> 2059837

The protein structure code: what is its present status?

J Garnier1, J M Levin.   

Abstract

Current methods of prediction of protein conformation are reviewed and the algorithms on which they rely are presented. For non-homologous proteins and after cross-validation the reported methods exhibit a probability index, i.e. the per cent of correctly predicted residues per predicted residues, of 63-65% with a standard deviation of the order of 7% for three conformational states--helix, beta-strand and coil. This present limitation in the accuracy of predictions that use only the information of the local sequence can be related essentially to the effect of long-range interactions specific for each protein family. The methods based on sequence similarity can improve the accuracy of prediction by expressing explicitly the homology of the protein to be predicted with proteins in the database. In these circumstances the probability index can reach 87% with a standard deviation of 6.6%. This property can be used for modeling homologous proteins by aiding in amino acid sequence alignments. The prediction of the tertiary structure of a protein is still limited to the case of modeling a structure based on the known three-dimensional structure of a homologous protein.

Mesh:

Year:  1991        PMID: 2059837     DOI: 10.1093/bioinformatics/7.2.133

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  7 in total

1.  A predictor of transmembrane alpha-helix domains of proteins based on neural networks.

Authors:  R Casadio; P Fariselli; C Taroni; M Compiani
Journal:  Eur Biophys J       Date:  1996       Impact factor: 1.733

2.  On the existence and implications of an inverse folding code in proteins.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-18       Impact factor: 11.205

3.  Modeling of protein loops by simulated annealing.

Authors:  V Collura; J Higo; J Garnier
Journal:  Protein Sci       Date:  1993-09       Impact factor: 6.725

4.  On the nature of the protein folding code.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1993-01-15       Impact factor: 11.205

5.  A simple and fast approach to prediction of protein secondary structure from multiply aligned sequences with accuracy above 70%.

Authors:  P K Mehta; J Heringa; P Argos
Journal:  Protein Sci       Date:  1995-12       Impact factor: 6.725

6.  Predicting secondary structures of membrane proteins with neural networks.

Authors:  P Fariselli; M Compiani; R Casadio
Journal:  Eur Biophys J       Date:  1993       Impact factor: 1.733

7.  Improved prediction of protein secondary structure by use of sequence profiles and neural networks.

Authors:  B Rost; C Sander
Journal:  Proc Natl Acad Sci U S A       Date:  1993-08-15       Impact factor: 11.205

  7 in total

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