Assessment of conformational parameters as predictors of limited proteolytic sites in native protein structures

被引:104
作者
Hubbard, SJ
Beynon, RJ
Thornton, JM
机构
[1] Univ Manchester, Inst Sci & Technol, Dept Biomol Sci, Manchester M60 1QD, Lancs, England
[2] Univ London Univ Coll, Dept Biochem, Biomol Struct & Modelling Unit, London WC1E 6BT, England
来源
PROTEIN ENGINEERING | 1998年 / 11卷 / 05期
基金
英国惠康基金;
关键词
molecular recognition; proteinase; limited proteolysis; prediction; nick-sites;
D O I
10.1093/protein/11.5.349
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Despite the importance of limited proteolysis in biological systems it is often difficult to rationalize why a proteinase hydrolyses a particular bond, given a simple sequence specificity alone. Understanding of the structural properties limiting the proteolysis represents a first step on the pathway to control and manipulation of this phenomena. An expanded set of nick-sites in proteins of known tertiary structure, cut by both narrow and broad specificity proteinases, has been generated yielding a robust data set of strictly limited sites. A critical evaluation of an expanded set of conformational parameters revealed a strong correlation with limited proteolytic sites, although they are only modest predictors in isolation. The overall predictive power is significantly improved when the conformational parameters are combined in a weighted predictive scheme that permits their relative importance to be compared via a Metropolis search protocol. A subset of the parameters performs equally well demonstrating the key determinants of susceptibility. The derived predictive algorithm has been made available via the internet. Its utility for predicting other surface-correlated features is also discussed.
引用
收藏
页码:349 / 359
页数:11
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