Network-based technologies for early drug discovery

被引:64
|
作者
Fotis, Chris [1 ]
Antoranz, Asier [1 ,2 ]
Hatziavramidis, Dimitris [1 ]
Sakellaropoulos, Theodore [1 ]
Alexopoulos, Leonidas G. [1 ,2 ]
机构
[1] Natl Tech Univ Athens, Athens, Greece
[2] Protavio Ltd, Cambridge, England
关键词
PATHWAY ANALYSIS; TARGET IDENTIFICATION; BIOLOGICAL NETWORKS; INTEGRATIVE BIOLOGY; PREDICTION; EVOLUTION; SYSTEMS; GENOME;
D O I
10.1016/j.drudis.2017.12.001
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Although the traditional drug discovery approach has led to the development of many successful drugs, the attrition rates remain high. Recent advances in systems-oriented approaches (systems-biology and/or pharmacology) and 'omics technologies has led to a plethora of new computational tools that promise to enable a more-informed and successful implementation of the reductionist, one drug for one target for one disease, approach. These tools, based on biomolecular pathways and interaction networks, offer a systematic approach to unravel the mechanism(s) of a disease and link them to the chemical space and network footprint of a drug. Drug discovery can draw upon this holistic approach to identify the most promising targets and compounds during the early phases of development.
引用
收藏
页码:626 / 635
页数:10
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