Proteochemometric Modeling of the Antigen-Antibody Interaction : New Fingerprints for Antigen, Antibody and Epitope-Paratope Interaction

Show simple item record

dc.contributor.author Qiu, Tianyi
dc.contributor.author Xiao, Han
dc.contributor.author Zhang, Qingchen
dc.contributor.author Qiu, Jingxuan
dc.contributor.author Yang, Yiyan
dc.contributor.author Wu, Dingfeng
dc.contributor.author Cao, Zhiwei
dc.contributor.author Zhu, Ruixin
dc.date.accessioned 2016-03-01T12:53:02Z
dc.date.available 2016-03-01T12:53:02Z
dc.date.issued 2015-04-22
dc.identifier.citation Qiu , T , Xiao , H , Zhang , Q , Qiu , J , Yang , Y , Wu , D , Cao , Z & Zhu , R 2015 , ' Proteochemometric Modeling of the Antigen-Antibody Interaction : New Fingerprints for Antigen, Antibody and Epitope-Paratope Interaction ' , PLoS One , vol. 10 , no. 4 , 0122416 . https://doi.org/10.1371/journal.pone.0122416
dc.identifier.other PURE: 49169578
dc.identifier.other PURE UUID: fd881c9e-9a19-47b4-908f-b31e7aaaf3c6
dc.identifier.other WOS: 000353331500020
dc.identifier.other Scopus: 84930651903
dc.identifier.uri http://hdl.handle.net/10138/160349
dc.description.abstract Despite the high specificity between antigen and antibody binding, similar epitopes can be recognized or cross-neutralized by paratopes of antibody with different binding affinities. How to accurately characterize this slight variation which may or may not change the antigen-antibody binding affinity is a key issue in this area. In this report, by combining cylinder model with shell structure model, a new fingerprint was introduced to describe both the structural and physical-chemical features of the antigen and antibody protein. Furthermore, beside the description of individual protein, the specific epitope-paratope interaction fingerprint (EPIF) was developed to reflect the bond and the environment of the antigen-antibody interface. Finally, Proteochemometric Modeling of the antigen-antibody interaction was established and evaluated on 429 antigen-antibody complexes. By using only protein descriptors, our model achieved the best performance (R-2 = 0: 91; Q(test)(2) = 0: 68) among peers. Further, together with EPIF as a new cross-term, our model (R-2 = 0: 92; Q(2) test = 0: 74) can significantly outperform peers with multiplication of ligand and protein descriptors as a cross-term (R2 en
dc.format.extent 15
dc.language.iso eng
dc.relation.ispartof PLoS One
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject PROTEIN-BINDING SITES
dc.subject CRYSTAL-STRUCTURE
dc.subject SPACE
dc.subject RECOGNITION
dc.subject PREDICTION
dc.subject INHIBITORS
dc.subject INTERFACE
dc.subject ALIGNMENT
dc.subject PATTERNS
dc.subject SURFACES
dc.subject 113 Computer and information sciences
dc.title Proteochemometric Modeling of the Antigen-Antibody Interaction : New Fingerprints for Antigen, Antibody and Epitope-Paratope Interaction en
dc.type Article
dc.contributor.organization Department of Computer Science
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1371/journal.pone.0122416
dc.relation.issn 1932-6203
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

Files in this item

Total number of downloads: Loading...

Files Size Format View
journal.pone.0122416.PDF 6.361Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record