Literature DB >> 25577863

[Research advance in the drug target prediction based on chemoinformatics].

Jian-song Fang1, Ai-lin Liu, Guan-hua Du.   

Abstract

The emerging of network pharmacology and polypharmacology forces the scientists to recognize and explore new mechanisms of existing drugs. The drug target prediction can play a key significance on the elucidation of the molecular mechanism of drugs and drug reposition. In this paper, we systematically review the existing approaches to the prediction of biological targets of small molecule based on chemoinformatics, including ligand-based prediction, receptor-based prediction and data mining-based prediction. We also depict the strength of these methods as well as their applications, and put forward their developing direction.

Mesh:

Substances:

Year:  2014        PMID: 25577863

Source DB:  PubMed          Journal:  Yao Xue Xue Bao        ISSN: 0513-4870


  2 in total

1.  Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of Gegen Qinlian Decoction for Rotavirus Enteritis.

Authors:  Peicheng Zhong; Lijun Song; Mengyue Gao; Xiaotong Wang; Wenpan Tan; Huanqian Lu; Qian Lan; Zuyi Zhao; Wenchang Zhao
Journal:  Evid Based Complement Alternat Med       Date:  2020-07-29       Impact factor: 2.629

2.  A network pharmacology-based approach to analyse potential targets of traditional herbal formulas: An example of Yu Ping Feng decoction.

Authors:  Huali Zuo; Qianru Zhang; Shibing Su; Qilong Chen; Fengqing Yang; Yuanjia Hu
Journal:  Sci Rep       Date:  2018-07-30       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.