Literature DB >> 10526365

Ab initio protein structure prediction of CASP III targets using ROSETTA.

K T Simons1, R Bonneau, I Ruczinski, D Baker.   

Abstract

To generate structures consistent with both the local and nonlocal interactions responsible for protein stability, 3 and 9 residue fragments of known structures with local sequences similar to the target sequence were assembled into complete tertiary structures using a Monte Carlo simulated annealing procedure (Simons et al., J Mol Biol 1997; 268:209-225). The scoring function used in the simulated annealing procedure consists of sequence-dependent terms representing hydrophobic burial and specific pair interactions such as electrostatics and disulfide bonding and sequence-independent terms representing hard sphere packing, alpha-helix and beta-strand packing, and the collection of beta-strands in beta-sheets (Simons et al., Proteins 1999;34:82-95). For each of 21 small, ab initio targets, 1,200 final structures were constructed, each the result of 100,000 attempted fragment substitutions. The five structures submitted for the CASP III experiment were chosen from the approximately 25 structures with the lowest scores in the broadest minima (assessed through the number of structural neighbors; Shortle et al., Proc Natl Acad Sci USA 1998;95:1158-1162). The results were encouraging: highlights of the predictions include a 99-residue segment for MarA with an rmsd of 6.4 A to the native structure, a 95-residue (full length) prediction for the EH2 domain of EPS15 with an rmsd of 6.0 A, a 75-residue segment of DNAB helicase with an rmsd of 4.7 A, and a 67-residue segment of ribosomal protein L30 with an rmsd of 3.8 A. These results suggest that ab initio methods may soon become useful for low-resolution structure prediction for proteins that lack a close homologue of known structure.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10526365     DOI: 10.1002/(sici)1097-0134(1999)37:3+<171::aid-prot21>3.3.co;2-q

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


  151 in total

1.  Transition-state structure as a unifying basis in protein-folding mechanisms: contact order, chain topology, stability, and the extended nucleus mechanism.

Authors:  A R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

2.  Associative memory hamiltonians for structure prediction without homology: alpha-helical proteins.

Authors:  C Hardin; M P Eastwood; Z Luthey-Schulten; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

3.  De novo protein structure determination using sparse NMR data.

Authors:  P M Bowers; C E Strauss; D Baker
Journal:  J Biomol NMR       Date:  2000-12       Impact factor: 2.835

4.  Decoys 'R' Us: a database of incorrect conformations to improve protein structure prediction.

Authors:  R Samudrala; M Levitt
Journal:  Protein Sci       Date:  2000-07       Impact factor: 6.725

5.  Free energies of protein decoys provide insight into determinants of protein stability.

Authors:  Y N Vorobjev; J Hermans
Journal:  Protein Sci       Date:  2001-12       Impact factor: 6.725

6.  Improved recognition of native-like protein structures using a family of designed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-08       Impact factor: 11.205

7.  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

8.  Cyclic coordinate descent: A robotics algorithm for protein loop closure.

Authors:  Adrian A Canutescu; Roland L Dunbrack
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

9.  Can correct protein models be identified?

Authors:  Björn Wallner; Arne Elofsson
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.