Comparative Protein Structure Modeling Using MODELLER

Narayanan Eswar(University of California, San Francisco), Ben Webb(University of California, San Francisco), Marc A. Martı́-Renom(Centro de Investigacion Principe Felipe), M. S. Madhusudhan(University of California, San Francisco), David Eramian(University of California, San Francisco), Min‐Yi Shen(University of California, San Francisco), Ursula Pieper(University of California, San Francisco), Andrej Šali(University of California, San Francisco)
Current Protocols in Protein Science
November 1, 2007
Cited by 2,906

Abstract

Functional characterization of a protein sequence is a common goal in biology, and is usually facilitated by having an accurate three-dimensional (3-D) structure of the studied protein. In the absence of an experimentally determined structure, comparative or homology modeling can sometimes provide a useful 3-D model for a protein that is related to at least one known protein structure. Comparative modeling predicts the 3-D structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications. Modeling lactate dehydrogenase from Trichomonas vaginalis (TvLDH) is described as an example. The download and installation of the MODELLER software is also described.


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