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

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.

Systems Biology: Applications in Drug Discovery

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

OPTIMAL METHODS FOR RE-ORDERING DATA MATRICES IN SYSTEMS BIOLOGY AND DRUG DISCOVERY APPLICATIONS

BIOMAT 2007 ◽  
2008 ◽  
Author(s):  
PETER A. DIMAGGIO ◽  
SCOTT R. MCALLISTER ◽  
CHRISTODOULOS A. FLOUDAS ◽  
XIAO-JIANG FENG ◽  
JOSHUA D. RABINOWITZ ◽  
...  
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Optimal Methods ◽  
Data Matrices

Drug discovery in the age of systems biology: the rise of computational approaches for data integration

2012 ◽  
Vol 23 (4) ◽  
pp. 609-616 ◽  
Author(s):  
Murat Iskar ◽  
Georg Zeller ◽  
Xing-Ming Zhao ◽  
Vera van Noort ◽  
Peer Bork
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Data Integration ◽  
Computational Approaches

Applying systems biology in drug discovery and development

2013 ◽  
Vol 28 (2) ◽  
Author(s):  
Jean-Pierre Galizzi ◽  
Brian Paul Lockhart ◽  
Antoine Bril
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Drug Discovery And Development
Sign in / Sign up

Export Citation Format

Share Document