Literature DB >> 11391776

Generalized comparative modeling (GENECOMP): a combination of sequence comparison, threading, and lattice modeling for protein structure prediction and refinement.

A Kolinski1, M R Betancourt, D Kihara, P Rotkiewicz, J Skolnick.   

Abstract

An improved generalized comparative modeling method, GENECOMP, for the refinement of threading models is developed and validated on the Fischer database of 68 probe-template pairs, a standard benchmark used to evaluate threading approaches. The basic idea is to perform ab initio folding using a lattice protein model, SICHO, near the template provided by the new threading algorithm PROSPECTOR. PROSPECTOR also provides predicted contacts and secondary structure for the template-aligned regions, and possibly for the unaligned regions by garnering additional information from other top-scoring threaded structures. Since the lowest-energy structure generated by the simulations is not necessarily the best structure, we employed two structure-selection protocols: distance geometry and clustering. In general, clustering is found to generate somewhat better quality structures in 38 of 68 cases. When applied to the Fischer database, the protocol does no harm and in a significant number of cases improves upon the initial threading model, sometimes dramatically. The procedure is readily automated and can be implemented on a genomic scale. Copyright 2001 Wiley-Liss, Inc.

Mesh:

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Year:  2001        PMID: 11391776     DOI: 10.1002/prot.1080

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


  14 in total

1.  TOUCHSTONE: an ab initio protein structure prediction method that uses threading-based tertiary restraints.

Authors:  D Kihara; H Lu; A Kolinski; J Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-14       Impact factor: 11.205

2.  TOUCHSTONE II: a new approach to ab initio protein structure prediction.

Authors:  Yang Zhang; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

Review 3.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

4.  Unfolding of globular proteins: monte carlo dynamics of a realistic reduced model.

Authors:  Andrzej Kolinski; Piotr Klein; Piotr Romiszowski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

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.  Prediction of beta-strand packing interactions using the signature product.

Authors:  W Michael Brown; Shawn Martin; Joseph P Chabarek; Charlie Strauss; Jean-Loup Faulon
Journal:  J Mol Model       Date:  2005-12-07       Impact factor: 1.810

7.  Use of secondary structural information and C alpha-C alpha distance restraints to model protein structures with MODELLER.

Authors:  Boojala V B Reddy; Yiannis N Kaznessis
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

8.  Combining multiple structure and sequence alignments to improve sequence detection and alignment: application to the SH2 domains of Janus kinases.

Authors:  B Al-Lazikani; F B Sheinerman; B Honig
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

9.  Effect of using suboptimal alignments in template-based protein structure prediction.

Authors:  Hao Chen; Daisuke Kihara
Journal:  Proteins       Date:  2011-01

10.  Towards site-based protein functional annotations.

Authors:  Seak Fei Lei; Jun Huan
Journal:  Int J Data Min Bioinform       Date:  2010       Impact factor: 0.667

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