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Computational approaches towards the discovery and optimisation of cruzain inhibitors
被引:10
|作者:
Santos, Viviane Correa
[1
]
Ferreira, Rafaela Salgado
[1
]
机构:
[1] Univ Fed Minas Gerais, Inst Ciencias Biol, Dept Bioquim & Imunol, Lab Modelagem Mol & Planejamento Farmacos, Belo Horizonte, MG, Brazil
来源:
基金:
俄罗斯科学基金会;
关键词:
cruzain;
cruzipain;
Chagas disease;
docking;
molecular dynamics simulations;
D O I:
10.1590/0074-02760210385
中图分类号:
R38 [医学寄生虫学];
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
100103 ;
摘要:
The need to develop safer and more efficacious drugs to treat Chagas disease has motivated the search for cruzain inhibitors. Cruzain is the recombinant, truncated version of cruzipain, a cysteine protease from Trypanosoma cruzi with important roles during the parasite life cycle. Several computational techniques have been applied to discover and optimise cruzain inhibitors, providing a molecular basis to guide this process. Here, we review some of the most recent computational studies that provided important information for the design of cruzain inhibitors. Moreover, we highlight the diversity of applications of in silico techniques and their impact.
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页数:5
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