Literature DB >> 11835492

Ab initio protein structure prediction via a combination of threading, lattice folding, clustering, and structure refinement.

J Skolnick1, A Kolinski, D Kihara, M Betancourt, P Rotkiewicz, M Boniecki.   

Abstract

A combination of sequence comparison, threading, lattice, and off-lattice Monte Carlo (MC) simulations and clustering of MC trajectories was used to predict the structure of all (but one) targets of the CASP4 experiment on protein structure prediction. Although this method is automated and is operationally the same regardless of the level of uniqueness of the query proteins, here we focus on the more difficult targets at the border of the fold recognition and new fold categories. For a few targets (T0110 is probably the best example), the ab initio method produced more accurate models than models obtained by the fold recognition techniques. For the most difficult targets from the new fold categories, substantial fragments of structures have been correctly predicted. Possible improvements of the method are briefly discussed. Copyright 2002 Wiley-Liss, Inc.

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Mesh:

Year:  2001        PMID: 11835492     DOI: 10.1002/prot.1172

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


  13 in total

1.  Ab initio protein structure prediction on a genomic scale: application to the Mycoplasma genitalium genome.

Authors:  Daisuke Kihara; Yang Zhang; Hui Lu; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

2.  A novel method for finding tRNA genes.

Authors:  Vickie Tsui; Tom Macke; David A Case
Journal:  RNA       Date:  2003-05       Impact factor: 4.942

3.  ASTRO-FOLD: a combinatorial and global optimization framework for Ab initio prediction of three-dimensional structures of proteins from the amino acid sequence.

Authors:  J L Klepeis; C A Floudas
Journal:  Biophys J       Date:  2003-10       Impact factor: 4.033

4.  A Structural-informatics approach for tracing beta-sheets: building pseudo-C(alpha) traces for beta-strands in intermediate-resolution density maps.

Authors:  Yifei Kong; Xing Zhang; Timothy S Baker; Jianpeng Ma
Journal:  J Mol Biol       Date:  2004-05-21       Impact factor: 5.469

5.  Protein fragment reconstruction using various modeling techniques.

Authors:  Michal Boniecki; Piotr Rotkiewicz; Jeffrey Skolnick; Andrzej Kolinski
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

6.  Sequence representation and prediction of protein secondary structure for structural motifs in twilight zone proteins.

Authors:  Lukasz Kurgan; Kanaka Durga Kedarisetti
Journal:  Protein J       Date:  2006-12       Impact factor: 2.371

7.  Protein structure prediction enhanced with evolutionary diversity: SPEED.

Authors:  Joe DeBartolo; Glen Hocky; Michael Wilde; Jinbo Xu; Karl F Freed; Tobin R Sosnick
Journal:  Protein Sci       Date:  2010-03       Impact factor: 6.725

8.  Calculation of adsorption free energy for solute-surface interactions using biased replica-exchange molecular dynamics.

Authors:  Feng Wang; Steven J Stuart; Robert A Latour
Journal:  Biointerphases       Date:  2008       Impact factor: 2.456

9.  bcl::Cluster : A method for clustering biological molecules coupled with visualization in the Pymol Molecular Graphics System.

Authors:  Nathan Alexander; Nils Woetzel; Jens Meiler
Journal:  IEEE Int Conf Comput Adv Bio Med Sci       Date:  2011-03-14

Review 10.  Rigorous performance evaluation in protein structure modelling and implications for computational biology.

Authors:  John Moult
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-03-29       Impact factor: 6.237

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