Literature DB >> 12369918

Computational tools for protein modeling.

D Xu1, Y Xu, E C Uberbacher.   

Abstract

Protein modeling is playing a more and more important role in protein and peptide sciences due to improvements in modeling methods, advances in computer technology, and the huge amount of biological data becoming available. Modeling tools can often predict the structure and shed some light on the function and its underlying mechanism. They can also provide insight to design experiments and suggest possible leads for drug design. This review attempts to provide a comprehensive introduction to major computer programs, especially on-line servers, for protein modeling. The review covers the following aspects: (1) protein sequence comparison, including sequence alignment/search, sequence-based protein family classification, domain parsing, and phylogenetic classification; (2) sequence annotation, including annotation/prediction of hydrophobic profiles, transmembrane regions, active sites, signaling sites, and secondary structures; (3) protein structure analysis, including visualization, geometry analysis, structure comparison/classification, dynamics, and electrostatics; (4) three-dimensional structure prediction, including homology modeling, fold recognition using threading, ab initio prediction, and docking. We will address what a user can expect from the computer tools in terms of their strengths and limitations. We will also discuss the major challenges and the future trends in the field. A collection of the links of tools can be found at http://compbio.ornl.gov/structure/resource/.

Mesh:

Year:  2000        PMID: 12369918     DOI: 10.2174/1389203003381469

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  11 in total

Review 1.  Information-based methods in the development of antiparasitic drugs.

Authors:  Kristina Wolf; Matthias Dormeyer
Journal:  Parasitol Res       Date:  2002-12-04       Impact factor: 2.289

2.  Mapping protein pockets through their potential small-molecule binding volumes: QSCD applied to biological protein structures.

Authors:  Keith Mason; Nehal M Patel; Aric Ledel; Ciamac C Moallemi; Edward A Wintner
Journal:  J Comput Aided Mol Des       Date:  2004-01       Impact factor: 3.686

Review 3.  Advances in homology protein structure modeling.

Authors:  Zhexin Xiang
Journal:  Curr Protein Pept Sci       Date:  2006-06       Impact factor: 3.272

4.  Fast prediction of protein domain boundaries using conserved local patterns.

Authors:  Rajani R Joshi; Vivekanand V Samant
Journal:  J Mol Model       Date:  2006-04-29       Impact factor: 1.810

5.  Myoinformatics report: myosin regulatory light chain paralogs in the human genome.

Authors:  John H Collins
Journal:  J Muscle Res Cell Motil       Date:  2006-03-15       Impact factor: 2.698

6.  Insights into molecular medicine: development of new diagnostic and prognostic parameters.

Authors:  Gernot P Tilz; Marco Wiltgen; Ulrike Demel; Christian Faschinger; Hannes Schmidinger; Albin Hermetter
Journal:  Wien Med Wochenschr       Date:  2007

Review 7.  Homology modelling: a review about the method on hand of the diabetic antigen GAD 65 structure prediction.

Authors:  Marco Wiltgen; Gernot P Tilz
Journal:  Wien Med Wochenschr       Date:  2009

8.  A structural bioinformatics approach for identifying proteins predisposed to bind linear epitopes on pre-selected target proteins.

Authors:  Eun Jung Choi; Ron Jacak; Brian Kuhlman
Journal:  Protein Eng Des Sel       Date:  2013-01-21       Impact factor: 1.650

9.  Molecular and phylogenetic analyses reveal mammalian-like clockwork in the honey bee (Apis mellifera) and shed new light on the molecular evolution of the circadian clock.

Authors:  Elad B Rubin; Yair Shemesh; Mira Cohen; Sharona Elgavish; Hugh M Robertson; Guy Bloch
Journal:  Genome Res       Date:  2006-10-25       Impact factor: 9.043

10.  The molecular clockwork of the fire ant Solenopsis invicta.

Authors:  Krista K Ingram; Alexander Kutowoi; Yannick Wurm; Dewayne Shoemaker; Rudolf Meier; Guy Bloch
Journal:  PLoS One       Date:  2012-11-13       Impact factor: 3.240

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