Please use this identifier to cite or link to this item: https://doi.org/10.1107/S0907444906046762
Title: Computational analyses of the surface properties of protein-protein interfaces
Authors: Gruber, J 
Zawaira, A
Saunders, R
Barrett, C.P
Noble, M.E.M
Keywords: protein
biology
chemical structure
chemistry
computer program
conference paper
conformation
crystallization
electricity
macromolecule
methodology
protein analysis
protein binding
protein conformation
protein secondary structure
Src homology domain
statistical model
surface property
Computational Biology
Crystallization
Electrostatics
Macromolecular Substances
Models, Molecular
Models, Statistical
Molecular Conformation
Protein Binding
Protein Conformation
Protein Interaction Mapping
Protein Structure, Secondary
Proteins
Software
src Homology Domains
Surface Properties
Issue Date: 2006
Citation: Gruber, J, Zawaira, A, Saunders, R, Barrett, C.P, Noble, M.E.M (2006). Computational analyses of the surface properties of protein-protein interfaces. Acta Crystallographica Section D: Biological Crystallography 63 (1) : 50-57. ScholarBank@NUS Repository. https://doi.org/10.1107/S0907444906046762
Rights: Attribution 4.0 International
Abstract: Several potential applications of structural biology depend on discovering how one macromolecule might recognize a partner. Experiment remains the best way to answer this question, but computational tools can contribute where this fails. In such cases, structures may be studied to identify patches of exposed residues that have properties common to interaction surfaces and the locations of these patches can serve as the basis for further modelling or for further experimentation. To date, interaction surfaces have been proposed on the basis of unusual physical properties, unusual propensities for particular amino-acid types or an unusually high level of sequence conservation. Using the CXXSurface toolkit, developed as a part of the CCP4MG program, a suite of tools to analyse the properties of surfaces and their interfaces in complexes has been prepared and applied. These tools have enabled the rapid analysis of known complexes to evaluate the distribution of (i) hydrophobicity, (ii) electrostatic complementarity and (iii) sequence conservation in authentic complexes, so as to assess the extent to which these properties may be useful indicators of probable biological function. © International Union of Crystallography 2007.
Source Title: Acta Crystallographica Section D: Biological Crystallography
URI: https://scholarbank.nus.edu.sg/handle/10635/181052
ISSN: 0907-4449
DOI: 10.1107/S0907444906046762
Rights: Attribution 4.0 International
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