Chapter

Chapter 21.3 Detection of errors in protein models

Crystallography of biological macromolecules

First Online Edition (2006)

Part 21. Structure validation

  1. O. Dym1,
  2. D. Eisenberg2,
  3. T. O. Yeates3

Published Online: 1 JAN 2006

DOI: 10.1107/97809553602060000709

International Tables for Crystallography

International Tables for Crystallography

How to Cite

Dym, O., Eisenberg, D. and Yeates, T. O. 2006. Detection of errors in protein models. International Tables for Crystallography. F:21:21.3:520–530.

Author Information

  1. 1

    UCLA–DOE Laboratory of Structural Biology and Molecular Medicine, UCLA, Box 951570, Los Angeles, CA 90095-1570, USA

  2. 2

    UCLA–DOE Laboratory of Structural Biology and Molecular Medicine, Department of Chemistry & Biochemistry, Molecular Biology Institute and Department of Biological Chemistry, UCLA, Los Angeles, CA 90095-1570, USA

  3. 3

    UCLA–DOE Laboratory of Structural Biology and Molecular Medicine, Department of Chemistry & Biochemistry and Molecular Biology Institute, UCLA, Los Angeles, CA 90095-1569, USA

Publication History

  1. Published Online: 1 JAN 2006

Abstract

The detection of errors in protein models is discussed. Programs used in this field, including PROCHECK, WHAT IF, VERIFY3D and ERRAT, are described and the type of errors that they detect are outlined. Examples of the detection of errors in structures are provided with a focus on the programs VERIFY3D and ERRAT.

Keywords:

  • ERRAT;
  • PROCHECK;
  • VERIFY3D;
  • WHAT IF;
  • errors;
  • structure validation