Biological complexity and drug discovery: a practical systems biology approach

2005 ◽  
Vol 152 (4) ◽  
pp. 201 ◽  
Author(s):  
E.L. Berg ◽  
E.J. Kunkel ◽  
E. Hytopoulos
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Biological Complexity

scholarly journals An integrated dataset for in silico drug discovery

2010 ◽  
Vol 7 (3) ◽  
Author(s):  
Simon J Cockell ◽  
Jochen Weile ◽  
Phillip Lord ◽  
Claire Wipat ◽  
Dmytro Andriychenko ◽  
...  
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Drug Development ◽  
Data Integration ◽  
In Silico ◽  
Drug Repositioning ◽  
Integrated Systems ◽  
Integration Platform ◽  
Treatment Indications ◽  
New Treatment

SummaryDrug development is expensive and prone to failure. It is potentially much less risky and expensive to reuse a drug developed for one condition for treating a second disease, than it is to develop an entirely new compound. Systematic approaches to drug repositioning are needed to increase throughput and find candidates more reliably. Here we address this need with an integrated systems biology dataset, developed using the Ondex data integration platform, for the in silico discovery of new drug repositioning candidates. We demonstrate that the information in this dataset allows known repositioning examples to be discovered. We also propose a means of automating the search for new treatment indications of existing compounds.

Systems Biology in Drug Discovery

2010 ◽  
pp. 399-414 ◽  
Author(s):  
Greg Tucker-Kellogg ◽  
Amit Aggarwal ◽  
Kerry Blanchard ◽  
Richard Gaynor
Keyword(s):  
Systems Biology ◽  
Drug Discovery

scholarly journals Advancing Drug Discovery and Development from Active Constituents of Yinchenhao Tang, a Famous Traditional Chinese Medicine Formula

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Aihua Zhang ◽  
Hui Sun ◽  
Shi Qiu ◽  
Xijun Wang
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Synergistic Effects ◽  
Molecular Networks ◽  
Agile Development ◽  
Therapeutic Effects ◽  
Systematic Analysis

Traditional Chinese medicine (TCM) formula has been playing a very important role in health protection and disease control for thousands of years. Guided by TCM syndrome theories, formula are designed to contain a combination of various kinds of crude drugs that, when combined, will achieve synergistic efficacy. However, the precise mechanism of synergistic action remains poorly understood. One example is a famous TCM formula Yinchenhao Tang (YCHT), whose efficacy in treating hepatic injury (HI) and Jaundice syndrome, has recently been well established as a case study. We also conducted a systematic analysis of synergistic effects of the principal compound using biochemistry, pharmacokinetics and systems biology, to explore the key molecular mechanisms. We had found that the three component (6,7-dimethylesculetin (D), geniposide (G), and rhein (R)) combination exerts a more robust synergistic effect than any one or two of the three individual compounds by hitting multiple targets. They can regulate molecular networks through activating both intrinsic and extrinsic pathways to synergistically cause intensified therapeutic effects. This paper provides an overview of the recent and potential developments of chemical fingerprinting coupled with systems biology advancing drug discovery towards more agile development of targeted combination therapies for the YCHT.

scholarly journals Network analyses in systems biology: new strategies for dealing with biological complexity

Synthese ◽  
2017 ◽  
Vol 195 (4) ◽  
pp. 1751-1777 ◽  
Author(s):  
Sara Green ◽  
Maria Şerban ◽  
Raphael Scholl ◽  
Nicholaos Jones ◽  
Ingo Brigandt ◽  
...  
Keyword(s):  
Systems Biology ◽  
Biological Complexity ◽  
Network Analyses ◽  
New Strategies

Systems biology in drug discovery

2004 ◽  
Vol 22 (10) ◽  
pp. 1253-1259 ◽  
Author(s):  
Eugene C Butcher ◽  
Ellen L Berg ◽  
Eric J Kunkel
Keyword(s):  
Systems Biology ◽  
Drug Discovery

Systems Biology: Applications in Drug Discovery

2010 ◽  
Author(s):  
Sean Ekins ◽  
Andrej Bugrim ◽  
Yuri Nikolsky ◽  
Tatiana Nikolskaya
Keyword(s):  
Systems Biology ◽  
Drug Discovery
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