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Overview on the current status on virtual high-throughput screening and combinatorial chemistry approaches in multi-target anticancer drug discovery; Part II
被引:0
|作者:
Geromichalos, George D.
[1
]
Alifieris, Constantinos E.
[2
]
Geromichalou, Elena G.
[2
]
Trafalis, Dimitrios T.
[2
]
机构:
[1] Theagen Canc Hosp, Dept Cell Culture Mol Modeling & Drug Design, Symeonid Res Ctr, 2 Al Symeonidi Str, Thessaloniki 54007, Greece
[2] Univ Athens, Sch Med, Pharmacol Lab, Athens, Greece
来源:
关键词:
combinatorial chemistry;
computational molecular docking;
computer aided drug design;
multi-target drug discovery;
signaling networks;
virtual high-through-put screening;
FLEXIBLE LIGAND DOCKING;
LEAD DISCOVERY;
COMPOUND LIBRARIES;
DESIGN;
MOLECULES;
QSAR;
PHARMACOPHORES;
IDENTIFICATION;
OPTIMIZATION;
DESCRIPTORS;
D O I:
暂无
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Conventional drug design embraces the "one gene, one drug, one disease" philosophy. Nowadays, new generation of anticancer drugs, able to inhibit more than one pathway, is believed to play a major role in contemporary anticancer drug research. In this way, polypharmacology, focusing on multi-target drugs, has emerged as a new paradigm in drug discovery. A number of recent successful drugs have in part or in whole emerged from a structure-based research approach. Many advances including crystallography and informatics are behind these successes. In this part II we will review the role and methodology of ligand-, structure- and fragment-based computer-aided drug design computer aided drug desing (CADD), virtual high throughput screening (vHTS), de novo drug design, fragment-based design and structure-based molecular docking, homology modeling, combinatorial chemistry and library design, pharmacophore model chemistry and informatics in modern drug discovery.
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页码:1337 / 1358
页数:22
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