Proteochemometrics analysis of substrate interactions with dengue virus NS3 proteases

被引:40
作者
Prusis, Peteris [1 ]
Lapins, Maris [1 ]
Yahorava, Sviatlana [1 ]
Petrovska, Ramona [1 ]
Niyomrattanakit, Pornwaratt [2 ]
Katzenmeier, Gerd [2 ]
Wikberg, Jarl E. S. [1 ]
机构
[1] Uppsala Univ, Dept Pharmaceut Biosci, SE-75124 Uppsala, Sweden
[2] Mahidol Univ, Inst Mol Biol & Genet, Mol Virol Lab, Nakhon Pathom 73170, Thailand
关键词
dengue proteases; proteochemometrics; substrate library; peptide library; library design; statistical molecular design; molecular recognition modeling;
D O I
10.1016/j.bmc.2008.08.081
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
The prime side specificity of dengue protease substrates was investigated by use of proteochemometrics, a technology for drug target interaction analysis. A set of 48 internally quenched peptides were designed using statistical molecular design (SMD) and assayed with proteases of four subtypes of dengue virus (DEN-1-4) for Michaelis (K-m) and cleavage rate constants (k(cat)). The data were subjected to proteochemometrics modeling, concomitantly modeling all peptides on all the four dengue proteases, which yielded highly predictive models for both activities. Detailed analysis of the models then showed that considerably differing physico-chemical properties of amino acids contribute independently to the K-m and kcat activities. For k(cat), only P1' and P2' prime side residues were important, while for K-m all four prime side residues, P1'-P4', were important. The models could be used to identify amino acids for each P' substrate position that are favorable for, respectively, high substrate affinity and cleavage rate. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:9369 / 9377
页数:9
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