Most efficient cocaine hydrolase designed by virtual screening of transition states.
Most efficient cocaine hydrolase designed by virtual screening of transition states.
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DOI:
10.1021/ja803646t
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发表时间:
2008-09-10
影响因子:
15
通讯作者:
Zhan, Chang-Guo
中科院分区:
文献类型:
--
作者:
Zheng, Fang;Yang, Wenchao;Ko, Mei-Chuan;Liu, Junjun;Cho, Hoon;Gao, Daquan;Tong, Min;Tai, Hsin-Hsiung;Woods, James H.;Zhan, Chang-Guo
Cocaine is recognized as the most reinforcing of all drugs of abuse. There is no anti-cocaine medication available. The disastrous medical and social consequences of cocaine addiction have made the development of an anti-cocaine medication a high priority. It has been recognized as an ideal anti-cocaine medication to accelerate cocaine metabolism producing biologically inactive metabolites via a route similar to the primary cocaine-metabolizing pathway, i.e. cocaine hydrolysis catalyzed by plasma enzyme butyrylcholinesterase (BChE). However, wild-type BChE has a low catalytic efficiency against the abused cocaine. Design of a high-activity enzyme mutant is extremely challenging, particularly when the chemical reaction process is rate determining for the enzymatic reaction. Here we report the design and discovery of a high-activity mutant of human BChE by using a novel, systematic computational design approach based on transition-state simulations and activation energy calculations. The novel computational design approach has led to discovery of the most efficient cocaine hydrolase, i.e. a human BChE mutant with a ∼2000-fold improved catalytic efficiency, promising for therapeutic treatment of cocaine overdose and addiction as an exogenous enzyme in human. The encouraging discovery resulted from the computational design not only provides a promising anti-cocaine medication, but also demonstrates that the novel, generally applicable computational design approach is promising for rational enzyme redesign and drug discovery.
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DOI:
10.1073/pnas.0403795101
发表时间:
2004-07-13
影响因子:
11.1
作者:
Carrera, MRA;Kaufmann, GF;Janda, KD
通讯作者:
Janda, KD
影响因子:
3.6
作者:
Gao, Y;Atanasova, E;Brimijoin, S
通讯作者:
Brimijoin, S
影响因子:
3.3
作者:
Gao, DQ;Zhan, CG
通讯作者:
Zhan, CG
DOI:
10.1073/pnas.0507332102
发表时间:
2005-11-15
影响因子:
11.1
作者:
Pan, YM;Gao, DQ;Zhan, CG
通讯作者:
Zhan, CG
DOI:
10.1038/nsb742
发表时间:
2002-01-01
期刊:
NATURE STRUCTURAL BIOLOGY
影响因子:
--
作者:
Larsen, NA;Turner, JM;Wilson, IA
通讯作者:
Wilson, IA