Peptide binding to the HLA-DRB1 supertype: A proteochemometrics analysis

被引:17
|
作者
Dimitrov, Ivan [1 ]
Garnev, Panayot [1 ]
Flower, Darren R. [2 ]
Doytchinova, Irini [1 ]
机构
[1] Med Univ Sofia, Fac Pharm, Sofia 1000, Bulgaria
[2] Univ Oxford, Jenner Inst, Compton RG20 7NN, Berks, England
基金
英国惠康基金;
关键词
Proteochemometrics; QSAR; Epitope prediction; MHC class II; MAJOR HISTOCOMPATIBILITY COMPLEX; IN-SILICO IDENTIFICATION; CLASS-II MOLECULE; T-CELL RECEPTOR; PREDICTION SERVERS; DRA-ASTERISK-0101; BENCHMARK; TOOLS;
D O I
10.1016/j.ejmech.2009.09.049
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
A proteochemometrics approach was applied to a set of 2666 peptides binding to 12 HLA-DRB1 proteins. Sequences of both peptide and protein were described using three z-descriptors. Cross terms accounting for adjacent positions and for every second position in the peptides were included in the models, as well as cross terms for peptide/protein interactions. Models were derived based on combinations of different blocks of variables. These models had moderate goodness of fit, as expressed by r(2), which ranged from 0.685 to 0.732: and good cross-validated predictive ability, as expressed by q(2), which varied from 0.678 to 0.719. The external predictive ability was tested using a set of 356 HLA-DRB1 binders, which showed an r(pred)(2) in the range 0.364-0.530. Peptide and protein positions involved in the interactions were analyzed in terms of hydrophobicity, steric bulk and polarity. (C) 2009 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:236 / 243
页数:8
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