Please use this identifier to cite or link to this item:
https://doi.org/10.1107/S0907444906046762
DC Field | Value | |
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dc.title | Computational analyses of the surface properties of protein-protein interfaces | |
dc.contributor.author | Gruber, J | |
dc.contributor.author | Zawaira, A | |
dc.contributor.author | Saunders, R | |
dc.contributor.author | Barrett, C.P | |
dc.contributor.author | Noble, M.E.M | |
dc.date.accessioned | 2020-10-27T07:02:56Z | |
dc.date.available | 2020-10-27T07:02:56Z | |
dc.date.issued | 2006 | |
dc.identifier.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 | |
dc.identifier.issn | 0907-4449 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/181052 | |
dc.description.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. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | protein | |
dc.subject | biology | |
dc.subject | chemical structure | |
dc.subject | chemistry | |
dc.subject | computer program | |
dc.subject | conference paper | |
dc.subject | conformation | |
dc.subject | crystallization | |
dc.subject | electricity | |
dc.subject | macromolecule | |
dc.subject | methodology | |
dc.subject | protein analysis | |
dc.subject | protein binding | |
dc.subject | protein conformation | |
dc.subject | protein secondary structure | |
dc.subject | Src homology domain | |
dc.subject | statistical model | |
dc.subject | surface property | |
dc.subject | Computational Biology | |
dc.subject | Crystallization | |
dc.subject | Electrostatics | |
dc.subject | Macromolecular Substances | |
dc.subject | Models, Molecular | |
dc.subject | Models, Statistical | |
dc.subject | Molecular Conformation | |
dc.subject | Protein Binding | |
dc.subject | Protein Conformation | |
dc.subject | Protein Interaction Mapping | |
dc.subject | Protein Structure, Secondary | |
dc.subject | Proteins | |
dc.subject | Software | |
dc.subject | src Homology Domains | |
dc.subject | Surface Properties | |
dc.type | Conference Paper | |
dc.contributor.department | YALE-NUS COLLEGE | |
dc.description.doi | 10.1107/S0907444906046762 | |
dc.description.sourcetitle | Acta Crystallographica Section D: Biological Crystallography | |
dc.description.volume | 63 | |
dc.description.issue | 1 | |
dc.description.page | 50-57 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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