Please use this identifier to cite or link to this item:
|Title:||Z-score biological significance of binding hot spots of protein interfaces by using crystal packing as the reference state||Authors:||Liu, Q.
|Keywords:||Binding hot spots
Z-score biological significance
|Issue Date:||2012||Citation:||Liu, Q., Wong, L., Li, J. (2012). Z-score biological significance of binding hot spots of protein interfaces by using crystal packing as the reference state. Biochimica et Biophysica Acta - Proteins and Proteomics 1824 (12) : 1457-1467. ScholarBank@NUS Repository. https://doi.org/10.1016/j.bbapap.2012.05.014||Abstract:||Characterization of binding hot spots of protein interfaces is a fundamental study in molecular biology. Many computational methods have been proposed to identify binding hot spots. However, there are few studies to assess the biological significance of binding hot spots. We introduce the notion of biological significance of a contact residue for capturing the probability of the residue occurring in or contributing to protein binding interfaces. We take a statistical Z-score approach to the assessment of the biological significance. The method has three main steps. First, the potential score of a residue is defined by using a knowledge-based potential function with relative accessible surface area calculations. A null distribution of this potential score is then generated from artifact crystal packing contacts. Finally, the Z-score significance of a contact residue with a specific potential score is determined according to this null distribution. We hypothesize that residues at binding hot spots have big absolute values of Z-score as they contribute greatly to binding free energy. Thus, we propose to use Z-score to predict whether a contact residue is a hot spot residue. Comparison with previously reported methods on two benchmark datasets shows that this Z-score method is mostly superior to earlier methods. This article is part of a Special Issue entitled: Computational Methods for Protein Interaction and Structural Prediction. Crown Copyright © 2012 Published by Elsevier B.V. All rights reserved.||Source Title:||Biochimica et Biophysica Acta - Proteins and Proteomics||URI:||http://scholarbank.nus.edu.sg/handle/10635/41729||ISSN:||15709639||DOI:||10.1016/j.bbapap.2012.05.014|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 13, 2022
WEB OF SCIENCETM
checked on Aug 5, 2022
checked on Aug 4, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.