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Conference Paper: Prediction of protein-protein interactions using alpha shape modeling

TitlePrediction of protein-protein interactions using alpha shape modeling
Authors
KeywordsAlpha shape
Protein-protein interaction
Structural alignment
Issue Date2011
PublisherAmerican Institute of Physics. The Journal's web site is located at http://proceedings.aip.org/
Citation
The 2011 International Symposium on Computational Models for Life Sciences (CMLS-11), Toyama, Japan, 11-13 October 2011. In AIP Conference Proceedings, 2011, v. 1371, p. 244-252 How to Cite?
AbstractProtein-protein interactions play important roles in a lot of biological progress. Previous studies about protein-protein interactions were mainly based on sequence analysis. As more 3D structural information can be obtained from protein-protein complexes, structural analysis becomes feasible and useful. In this study, we used structural alignment to predict the protein-binding site and apply 3D alpha shape modeling to analyze the interface characteristics. We have developed a method for protein-protein interaction prediction. The result indicates good performance of our method in discriminating protein-binding structures from non-protein binding structures. Our method outperforms the previous methods based on the Matthews correlation coefficient. © 2011 American Institute of Physics.
Persistent Identifierhttp://hdl.handle.net/10722/144862
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhou, Wen_HK
dc.contributor.authorYan, Hen_HK
dc.contributor.authorFan, Xen_HK
dc.contributor.authorHao, Qen_HK
dc.date.accessioned2012-02-20T06:45:06Z-
dc.date.available2012-02-20T06:45:06Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 2011 International Symposium on Computational Models for Life Sciences (CMLS-11), Toyama, Japan, 11-13 October 2011. In AIP Conference Proceedings, 2011, v. 1371, p. 244-252-
dc.identifier.issn0094-243Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/144862-
dc.description.abstractProtein-protein interactions play important roles in a lot of biological progress. Previous studies about protein-protein interactions were mainly based on sequence analysis. As more 3D structural information can be obtained from protein-protein complexes, structural analysis becomes feasible and useful. In this study, we used structural alignment to predict the protein-binding site and apply 3D alpha shape modeling to analyze the interface characteristics. We have developed a method for protein-protein interaction prediction. The result indicates good performance of our method in discriminating protein-binding structures from non-protein binding structures. Our method outperforms the previous methods based on the Matthews correlation coefficient. © 2011 American Institute of Physics.en_HK
dc.languageeng-
dc.publisherAmerican Institute of Physics. The Journal's web site is located at http://proceedings.aip.org/-
dc.relation.ispartofAIP Conference Proceedingsen_HK
dc.rightsAIP Conference Proceedings. Copyright © American Institute of Physics.-
dc.subjectAlpha shapeen_HK
dc.subjectProtein-protein interactionen_HK
dc.subjectStructural alignmenten_HK
dc.titlePrediction of protein-protein interactions using alpha shape modelingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHao, Q: qhao@hku.hken_HK
dc.identifier.authorityHao, Q=rp01332en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1063/1.3596648en_HK
dc.identifier.scopuseid_2-s2.0-79960102257en_HK
dc.identifier.hkuros198783-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79960102257&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1371en_HK
dc.identifier.spage244en_HK
dc.identifier.epage252en_HK
dc.identifier.isiWOS:000294779500027-
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe 2011 International Symposium on Computational Models for Life Sciences (CMLS-11), Toyama, Japan, 11-13 October 2011. In AIP Conference Proceedings, 2011, v. 1371, p. 244-252-
dc.identifier.scopusauthoridZhou, W=8593121200en_HK
dc.identifier.scopusauthoridYan, H=35323219700en_HK
dc.identifier.scopusauthoridFan, X=35302470300en_HK
dc.identifier.scopusauthoridHao, Q=7102508868en_HK
dc.customcontrol.immutablesml 160512 amend-

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