Volume 45, Issue S5 pp. 39-46
Comparative Modeling: Prediction Report

Enhancement of protein modeling by human intervention in applying the automatic programs 3D-JIGSAW and 3D-PSSM

Paul A. Bates

Corresponding Author

Paul A. Bates

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, London, United Kingdom

Paul Bates and Lawrence Kelley contributed equally to this work.

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, 44 Lincoln's Inn Fields, London WC2A 3PX, UK===Search for more papers by this author
Lawrence A. Kelley

Lawrence A. Kelley

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, London, United Kingdom

Paul Bates and Lawrence Kelley contributed equally to this work.

Search for more papers by this author
Robert M. MacCallum

Robert M. MacCallum

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, London, United Kingdom

Search for more papers by this author
Michael J.E. Sternberg

Corresponding Author

Michael J.E. Sternberg

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, London, United Kingdom

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, 44 Lincoln's Inn Fields, London WC2A 3PX, UK===Search for more papers by this author
First published: 28 January 2002
Citations: 430

Abstract

Fourteen models were constructed and analyzed for the comparative modeling section of Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from 0.8 to 17.9 Å. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols are a combination of automated computer algorithms, 3D-JIGSAW (for comparative modeling) and 3D-PSSM (for fold recognition), with human intervention at certain critical stages. In particular, intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments to those parents and take-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology. Proteins 2001;Suppl 5:39–46. © 2002 Wiley-Liss, Inc.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.