Literature DB >> 10526366

Ab initio folding of proteins using restraints derived from evolutionary information.

A R Ortiz1, A Kolinski, P Rotkiewicz, B Ilkowski, J Skolnick.   

Abstract

We present our predictions in the ab initio structure prediction category of CASP3. Eleven targets were folded, using a method based on a Monte Carlo search driven by secondary and tertiary restraints derived from multiple sequence alignments. Our results can be qualitatively summarized as follows: The global fold can be considered "correct" for targets 65 and 74, "almost correct" for targets 64, 75, and 77, "half-correct" for target 79, and "wrong" for targets 52, 56, 59, and 63. Target 72 has not yet been solved experimentally. On average, for small helical and alpha/beta proteins (on the order of 110 residues or smaller), the method predicted low resolution structures with a reasonably good prediction of the global topology. Most encouraging is that in some situations, such as with target 75 and, particularly, target 77, the method can predict a substantial portion of a rare or even a novel fold. However, the current method still fails on some beta proteins, proteins over the 110-residue threshold, and sequences in which only a poor multiple sequence alignment can be built. On the other hand, for small proteins, the method gives results of quality at least similar to that of threading, with the advantage of not being restricted to known folds in the protein database. Overall, these results indicate that some progress has been made on the ab initio protein folding problem. Detailed information about our results can be obtained by connecting to http:/(/)www.bioinformatics.danforthcenter.org/+ ++CASP3.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10526366     DOI: 10.1002/(sici)1097-0134(1999)37:3+<177::aid-prot22>3.3.co;2-5

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  37 in total

1.  Sequence evolution and the mechanism of protein folding.

Authors:  A R Ortiz; J Skolnick
Journal:  Biophys J       Date:  2000-10       Impact factor: 4.033

2.  Statistical potentials for fold assessment.

Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

3.  A physical approach to protein structure prediction.

Authors:  Silvia Crivelli; Elizabeth Eskow; Brett Bader; Vincent Lamberti; Richard Byrd; Robert Schnabel; Teresa Head-Gordon
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

4.  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

5.  A novel approach to decoy set generation: designing a physical energy function having local minima with native structure characteristics.

Authors:  Chen Keasar; Michael Levitt
Journal:  J Mol Biol       Date:  2003-05-23       Impact factor: 5.469

6.  Accurate and automated classification of protein secondary structure with PsiCSI.

Authors:  Ling-Hong Hung; Ram Samudrala
Journal:  Protein Sci       Date:  2003-02       Impact factor: 6.725

7.  Associative memory Hamiltonians for structure prediction without homology: alpha/beta proteins.

Authors:  Corey Hardin; Michael P Eastwood; Michael C Prentiss; Zadia Luthey-Schulten; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-28       Impact factor: 11.205

8.  PROTINFO: Secondary and tertiary protein structure prediction.

Authors:  Ling-Hong Hung; Ram Samudrala
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

9.  Roles of mutation and recombination in the evolution of protein thermodynamics.

Authors:  Yu Xia; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

10.  Detection of pairwise residue proximity by covariation analysis for 3D-structure prediction of G-protein-coupled receptors.

Authors:  Wataru Nemoto; Takashi Imai; Takuya Takahashi; Takeshi Kikuchi; Norihisa Fujita
Journal:  Protein J       Date:  2004-08       Impact factor: 2.371

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.