Platelet Aggregation Pathway Network-Based Approach for Evaluating Compounds Efficacy
Author(s) -
Jiangyong Gu,
Qian Li,
Lirong Chen,
Youyong Li,
Tingjun Hou,
Gu Yuan,
Xiaojie Xu
Publication year - 2013
Publication title -
evidence-based complementary and alternative medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.552
H-Index - 90
eISSN - 1741-4288
pISSN - 1741-427X
DOI - 10.1155/2013/425707
Subject(s) - platelet aggregation , context (archaeology) , computer science , correlation coefficient , computation , network model , biochemical engineering , flux (metallurgy) , biological system , network analysis , chemistry , data mining , machine learning , platelet , engineering , biology , algorithm , paleontology , organic chemistry , immunology , electrical engineering
Traditional Chinese medicines (TCMs) contain a large quantity of compounds with multiple biological activities. By using multitargets docking and network analysis in the context of pathway network of platelet aggregation, we proposed network efficiency and network flux model to screen molecules which can be used as drugs for antiplatelet aggregation. Compared with traditional single-target screening methods, network efficiency and network flux take into account the influences which compounds exert on the whole pathway network. The activities of antiplatelet aggregation of 19 active ingredients separated from TCM and 14 nonglycoside compounds predicated from network efficiency and network flux model show good agreement with experimental results (correlation coefficient = 0.73 and 0.90, resp.). This model can be used to evaluate the potential bioactive compounds and thus bridges the gap between computation and clinical indicator.
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