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 |
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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 |
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dc.subject |
PREDICTION |
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dc.subject |
INHIBITORS |
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dc.subject |
INTERFACE |
|
dc.subject |
ALIGNMENT |
|
dc.subject |
PATTERNS |
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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 |
|