Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement

Homology modeling is a computational methodology to assign a 3-D structure to a target protein when experimental data are not available. The methodology uses another protein with a known structure that shares some sequence identity with the target as a template. The crudest approach is to thread the...

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Main Authors: V. Kairys, M.K. Gilson, Miguel Xavier Fernandes
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1100/tsw.2006.250
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author V. Kairys
M.K. Gilson
Miguel Xavier Fernandes
author_facet V. Kairys
M.K. Gilson
Miguel Xavier Fernandes
author_sort V. Kairys
collection DOAJ
description Homology modeling is a computational methodology to assign a 3-D structure to a target protein when experimental data are not available. The methodology uses another protein with a known structure that shares some sequence identity with the target as a template. The crudest approach is to thread the target protein backbone atoms over the backbone atoms of the template protein, but necessary refinement methods are needed to produce realistic models. In this mini-review anchored within the scope of drug design, we show the validity of using homology models of proteins in the discovery of binders for potential therapeutic targets. We also report several different approaches to homology model refinement, going from very simple to the most elaborate. Results show that refinement approaches are system dependent and that more elaborate methodologies do not always correlate with better performances from built homology models.
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series The Scientific World Journal
spelling doaj-art-e91fdc8718a04ba0a6e4d453cf1fdf4c2025-08-20T03:21:09ZengWileyThe Scientific World Journal1537-744X2006-01-0161542155410.1100/tsw.2006.250Using Protein Homology Models for Structure-Based Studies: Approaches to Model RefinementV. Kairys0M.K. Gilson1Miguel Xavier Fernandes2Centro de Química da Madeira, Departamento de Química da Universidade da Madeira, Campus da Penteada, 9000-390 Funchal, PortugalCenter for Advanced Research in Biotechnology, 9600 Gudelsky Drive, Rockville, MD 20850, USACentro de Química da Madeira, Departamento de Química da Universidade da Madeira, Campus da Penteada, 9000-390 Funchal, PortugalHomology modeling is a computational methodology to assign a 3-D structure to a target protein when experimental data are not available. The methodology uses another protein with a known structure that shares some sequence identity with the target as a template. The crudest approach is to thread the target protein backbone atoms over the backbone atoms of the template protein, but necessary refinement methods are needed to produce realistic models. In this mini-review anchored within the scope of drug design, we show the validity of using homology models of proteins in the discovery of binders for potential therapeutic targets. We also report several different approaches to homology model refinement, going from very simple to the most elaborate. Results show that refinement approaches are system dependent and that more elaborate methodologies do not always correlate with better performances from built homology models.http://dx.doi.org/10.1100/tsw.2006.250
spellingShingle V. Kairys
M.K. Gilson
Miguel Xavier Fernandes
Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement
The Scientific World Journal
title Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement
title_full Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement
title_fullStr Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement
title_full_unstemmed Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement
title_short Using Protein Homology Models for Structure-Based Studies: Approaches to Model Refinement
title_sort using protein homology models for structure based studies approaches to model refinement
url http://dx.doi.org/10.1100/tsw.2006.250
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