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Bioinformatics Tools for Screening of Antiparasitic Drugs
被引:7
|作者:
de Azevedo, Walter Filgueira, Jr.
[1
]
Dias, Raquel
[1
]
Saraiva Macedo Timmers, Luis Fernando
[1
]
Pauli, Ivani
[1
]
Caceres, Rafael Andrade
[1
,2
]
Pereira Soares, Milena Botelho
[3
,4
]
机构:
[1] Pontificia Univ Catolica Rio Grande do Sul, Fac Biociencias, Lab Bioquim Estrutural, Porto Alegre, RS, Brazil
[2] Pontificia Univ Catolica Rio Grande do Sul, Programa Posgrad Med & Ciencias Saude, Programa Posgrad Biol Celular & Mol, Porto Alegre, RS, Brazil
[3] Fundacao Oswaldo Cruz, Ctr Pesquisas Goncalo Moniz, BR-40296710 Salvador, BA, Brazil
[4] Hosp Sao Rafael, BR-41253190 Salvador, BA, Brazil
关键词:
Virtual screening;
protein-ligand;
docking;
empirical scoring function;
protein target;
drug development;
in silico screening;
PURINE NUCLEOSIDE PHOSPHORYLASE;
EMPIRICAL SCORING FUNCTIONS;
PROTEIN DATA-BANK;
INCREMENTAL CONSTRUCTION ALGORITHM;
LIGAND-BINDING AFFINITY;
MYCOBACTERIUM-TUBERCULOSIS;
MOLECULAR DOCKING;
CRYSTAL-STRUCTURE;
AUTOMATED DOCKING;
HUMAN PNP;
D O I:
10.2174/138945009787581122
中图分类号:
R9 [药学];
学科分类号:
1007 ;
摘要:
Drug development has become the Holy Grail of many structural bionformatics groups. The explosion of information about protein structures, ligand-binding affinity, parasite genome projects, and biological activity of millions of molecules opened the possibility to correlate this scattered information in order to generate reliable computational models to predict the likelihood of being able to modulate a target with a small-molecule drug. Computational methods have shown their potential in drug discovery and development allied with in vitro and in vivo methodologies. The present review discusses the main bioinformatics tools available for drug discovery and development.
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页码:232 / 239
页数:8
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