2002•Current Protocols in Protein ScienceRequires access

Comparative Protein Structure Prediction

Marc A. Martı́-Renom, Bozidar Yerkovich, Andrej Šali

Open publisher page 10 citations

Abstract

Abstract Functional characterization of a protein sequence is one of the most frequent problems in biology. 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. Comparative modeling remains the only method to reliably predict the 3‐D structure of a protein with an accuracy comparable to a low‐resolution experimentally determined structure. This overview unit describes generic considerations for all four steps of comparative modeling, typical modeling errors, and applications of comparative protein structure models.

About this research paper

What this paper is about

Abstract Functional characterization of a protein sequence is one of the most frequent problems in biology. 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. Comparative modeling remains the only method to reliably predict the 3‐D structure of a protein with an accuracy comparable to a low‐resolution experimentally determined structure. This overview unit describes generic considerations for all four steps of comparative modeling, typical modeling errors, and applications of comparative protein structure models.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Functional characterization of a protein sequence is one of the most frequent problems in biology. 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. Comparative modeling remains the only method to reliably predict the 3‐D structure of a protein with an accuracy comparable to a low‐resolution experimentally determined structure. This overview unit describes generic considerations for all four steps of comparative modeling, typical modeling errors, and applications of comparative protein structure models.

Key concepts: Protein structure prediction, Homology modeling, Loop modeling, Protein structure, Threading (protein sequence), Computational biology, Sequence (biology), Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Comparative Protein Structure Prediction — Research Paper | ScholarLens