Network-Based Drug Discovery: Coupling Network Pharmacology with Phenotypic Screening for Neuronal Excitability

2018 ◽  
Vol 430 (18) ◽  
pp. 3005-3015 ◽  
Author(s):  
Ben Sidders ◽  
Anna Karlsson ◽  
Linda Kitching ◽  
Rubben Torella ◽  
Paul Karila ◽  
...  
INDIAN DRUGS ◽  
2021 ◽  
Vol 58 (08) ◽  
pp. 7-23
Author(s):  
Pratibha Pansari ◽  

The significant scientific work on the development of bio-active compound databases, computational technologies, and the integration of Information Technology with Biotechnology has brought a revolution in the domain of drug discovery. These tools facilitate the medicinal plant-based in silico drug discovery, which has become the frontier of pharmacological science. In this review article, we elucidate the methodology of in silico drug discovery for the medicinal plants and present an outlook on recent tools and technologies. Further, we explore the multi-component, multi-target, and multi-pathway mechanism of the bio-active compounds with the help of Network Pharmacology, which enables us to create a topological network between drug, target, gene, pathway, and disease.


2019 ◽  
Vol 35 (7) ◽  
pp. 559-570 ◽  
Author(s):  
Nathalie Aulner ◽  
Anne Danckaert ◽  
JongEun Ihm ◽  
David Shum ◽  
Spencer L. Shorte

Author(s):  
Ruth Dannenfelser ◽  
Huilei Xu ◽  
Catherine Raimond ◽  
Avi Ma’ayan

2014 ◽  
Vol 6 (5) ◽  
pp. 529-539 ◽  
Author(s):  
Asfar S Azmi ◽  
Ramzi M Mohammad

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Jian Li ◽  
Cheng Lu ◽  
Miao Jiang ◽  
Xuyan Niu ◽  
Hongtao Guo ◽  
...  

Current strategies for drug discovery have reached a bottleneck where the paradigm is generally “one gene, one drug, one disease.” However, using holistic and systemic views, network pharmacology may be the next paradigm in drug discovery. Based on network pharmacology, a combinational drug with two or more compounds could offer beneficial synergistic effects for complex diseases. Interestingly, traditional chinese medicine (TCM) has been practicing holistic views for over 3,000 years, and its distinguished feature is using herbal formulas to treat diseases based on the unique pattern classification. Though TCM herbal formulas are acknowledged as a great source for drug discovery, no drug discovery strategies compatible with the multidimensional complexities of TCM herbal formulas have been developed. In this paper, we highlighted some novel paradigms in TCM-based network pharmacology and new drug discovery. A multiple compound drug can be discovered by merging herbal formula-based pharmacological networks with TCM pattern-based disease molecular networks. Herbal formulas would be a source for multiple compound drug candidates, and the TCM pattern in the disease would be an indication for a new drug.


2019 ◽  
Vol 72 (10) ◽  
pp. 719-728 ◽  
Author(s):  
Edyta M. Grzelak ◽  
Mary P. Choules ◽  
Wei Gao ◽  
Geping Cai ◽  
Baojie Wan ◽  
...  

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