Literature DB >> 7765169

Structure prediction of proteins--where are we now?

B Rost1, C Sander.   

Abstract

Although the 'structure from sequence' prediction problem remains fundamentally unsolved, new and promising methods in one, two and three dimensions have reopened the field. Significantly improved one-dimensional prediction of secondary structure from multiple sequence alignments is now in routine use. In the two-dimensional approach, inter-residue contacts can be detected by analysis of correlated mutations, albeit with low accuracy. Finally, three-dimensional methods, in which pseudopotentials or information values are derived from the databases, are proving their value for distinguishing between correct and incorrect models.

Mesh:

Year:  1994        PMID: 7765169     DOI: 10.1016/0958-1669(94)90045-0

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  6 in total

Review 1.  Exploring conformational space using a mean field technique with MOLS sampling.

Authors:  P Arun Prasad; V Kanagasabai; J Arunachalam; N Gautham
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

2.  Topology prediction for helical transmembrane proteins at 86% accuracy.

Authors:  B Rost; P Fariselli; R Casadio
Journal:  Protein Sci       Date:  1996-08       Impact factor: 6.725

3.  Structural and sequence characteristics of long alpha helices in globular proteins.

Authors:  S Kumar; M Bansal
Journal:  Biophys J       Date:  1996-09       Impact factor: 4.033

4.  Tryptogalinin is a tick Kunitz serine protease inhibitor with a unique intrinsic disorder.

Authors:  James J Valdés; Alexandra Schwarz; Israel Cabeza de Vaca; Eric Calvo; Joao H F Pedra; Victor Guallar; Michalis Kotsyfakis
Journal:  PLoS One       Date:  2013-05-03       Impact factor: 3.240

5.  Substrate prediction of Ixodes ricinus salivary lipocalins differentially expressed during Borrelia afzelii infection.

Authors:  James J Valdés; Alejandro Cabezas-Cruz; Radek Sima; Philip T Butterill; Daniel Růžek; Patricia A Nuttall
Journal:  Sci Rep       Date:  2016-09-01       Impact factor: 4.379

6.  Correlated electrostatic mutations provide a reservoir of stability in HIV protease.

Authors:  Omar Haq; Michael Andrec; Alexandre V Morozov; Ronald M Levy
Journal:  PLoS Comput Biol       Date:  2012-09-06       Impact factor: 4.475

  6 in total

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