Literature DB >> 16006180

Systems modeling: a pathway to drug discovery.

Priyamvada Rajasethupathy1, Sharat J Vayttaden, Upinder S Bhalla.   

Abstract

Systems modeling is emerging as a valuable tool in therapeutics. This is seen by the increasing use of clinically relevant computational models and a rise in systems biology companies working with the pharmaceutical industry. Systems models have helped understand the effects of pharmacological intervention at receptor, intracellular and intercellular communication stages of cell signaling. For instance, angiogenesis models at the ligand-receptor interaction level have suggested explanations for the failure of therapies for cardiovascular disease. Intracellular models of myeloma signaling have been used to explore alternative drug targets and treatment schedules. Finally, modeling has suggested novel approaches to treating disorders of intercellular communication, such as diabetes. Systems modeling can thus fill an important niche in therapeutics by making drug discovery a faster and more systematic process.

Entities:  

Mesh:

Year:  2005        PMID: 16006180     DOI: 10.1016/j.cbpa.2005.06.008

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  18 in total

Review 1.  Translational potential of systems-based models of inflammation.

Authors:  P T Foteinou; S E Calvano; S F Lowry; I P Androulakis
Journal:  Clin Transl Sci       Date:  2009-02       Impact factor: 4.689

2.  Identification of optimal drug combinations targeting cellular networks: integrating phospho-proteomics and computational network analysis.

Authors:  Sergio Iadevaia; Yiling Lu; Fabiana C Morales; Gordon B Mills; Prahlad T Ram
Journal:  Cancer Res       Date:  2010-07-19       Impact factor: 12.701

Review 3.  Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach.

Authors:  I M Kapetanovic
Journal:  Chem Biol Interact       Date:  2006-12-16       Impact factor: 5.192

Review 4.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

5.  Modeling physiologic variability in human endotoxemia.

Authors:  Jeremy D Scheff; Panteleimon D Mavroudis; Panagiota T Foteinou; Steve E Calvano; Ioannis P Androulakis
Journal:  Crit Rev Biomed Eng       Date:  2012

Review 6.  Prostate cancer regulatory networks.

Authors:  Dario C Altieri; Lucia R Languino; Jane B Lian; Janet L Stein; Irwin Leav; Andre J van Wijnen; Zhong Jiang; Gary S Stein
Journal:  J Cell Biochem       Date:  2009-08-01       Impact factor: 4.429

7.  Combinatorial drug design targeting multiple cancer signaling networks controlled by mitochondrial Hsp90.

Authors:  Byoung Heon Kang; Janet Plescia; Ho Young Song; Massimiliano Meli; Giorgio Colombo; Kristin Beebe; Bradley Scroggins; Len Neckers; Dario C Altieri
Journal:  J Clin Invest       Date:  2009-02-23       Impact factor: 14.808

8.  A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens-a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems.

Authors:  Xiangfang Li; Lijun Qian; Michale L Bittner; Edward R Dougherty
Journal:  Cancer Inform       Date:  2012-02-27

9.  Dynamical modeling of drug effect using hybrid systems.

Authors:  Xiangfang Li; Lijun Qian; Edward R Dougherty
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-12-26

10.  Finding multiple target optimal intervention in disease-related molecular network.

Authors:  Kun Yang; Hongjun Bai; Qi Ouyang; Luhua Lai; Chao Tang
Journal:  Mol Syst Biol       Date:  2008-11-04       Impact factor: 11.429

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.