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
Titel: | Proteochemometric Modeling of the Antigen-Antibody Interaction : New Fingerprints for Antigen, Antibody and Epitope-Paratope Interaction |
Författare: | Qiu, Tianyi; Xiao, Han; Zhang, Qingchen; Qiu, Jingxuan; Yang, Yiyan; Wu, Dingfeng; Cao, Zhiwei; Zhu, Ruixin |
Upphovmannens organisation: | Department of Computer Science |
Datum: | 2015-04-22 |
Språk: | eng |
Sidantal: | 15 |
Tillhör serie: | PLoS One |
ISSN: | 1932-6203 |
DOI: | https://doi.org/10.1371/journal.pone.0122416 |
Permanenta länken (URI): | http://hdl.handle.net/10138/160349 |
Abstrakt: | 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 |
Subject: |
PROTEIN-BINDING SITES
CRYSTAL-STRUCTURE SPACE RECOGNITION PREDICTION INHIBITORS INTERFACE ALIGNMENT PATTERNS SURFACES 113 Computer and information sciences |
Referentgranskad: | Ja |
Licens: | cc_by |
Användningsbegränsning: | openAccess |
Parallelpublicerad version: | publishedVersion |
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Filer | Storlek | Format | Granska |
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journal.pone.0122416.PDF | 6.361Mb | Granska/Öppna |