Literature DB >> 18468557

Human metabolic network reconstruction and its impact on drug discovery and development.

Hongwu Ma1, Igor Goryanin.   

Abstract

This paper describes the process for the reconstruction of a high quality human metabolic network from the genome information, the existing problems in the reconstruction and why a time-consuming literature based consolidation process is needed. The reconstructed metabolic network provides a unified platform to integrate all the biological and medical information on genes, proteins, metabolites, disease, drugs and drug targets for a system level study of the relationship between metabolism and disease. System analysis of metabolic networks will help us, not only in identifying new drug targets but also in developing a system-oriented drug design strategy.

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Year:  2008        PMID: 18468557     DOI: 10.1016/j.drudis.2008.02.002

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  20 in total

Review 1.  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

Review 2.  Systems biology approaches for studying the pathogenesis of non-alcoholic fatty liver disease.

Authors:  Ciarán P Fisher; Andrzej M Kierzek; Nick J Plant; J Bernadette Moore
Journal:  World J Gastroenterol       Date:  2014-11-07       Impact factor: 5.742

Review 3.  In silico models of cancer.

Authors:  Lucas B Edelman; James A Eddy; Nathan D Price
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Jul-Aug

4.  Metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes.

Authors:  Aleksej Zelezniak; Tune H Pers; Simão Soares; Mary Elizabeth Patti; Kiran Raosaheb Patil
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

5.  Predicting enzyme targets for cancer drugs by profiling human metabolic reactions in NCI-60 cell lines.

Authors:  Limin Li; Xiaobo Zhou; Wai-Ki Ching; Ping Wang
Journal:  BMC Bioinformatics       Date:  2010-10-08       Impact factor: 3.169

6.  HepatoNet1: a comprehensive metabolic reconstruction of the human hepatocyte for the analysis of liver physiology.

Authors:  Christoph Gille; Christian Bölling; Andreas Hoppe; Sascha Bulik; Sabrina Hoffmann; Katrin Hübner; Anja Karlstädt; Ramanan Ganeshan; Matthias König; Kristian Rother; Michael Weidlich; Jörn Behre; Herrmann-Georg Holzhütter
Journal:  Mol Syst Biol       Date:  2010-09-07       Impact factor: 11.429

Review 7.  Accomplishments in genome-scale in silico modeling for industrial and medical biotechnology.

Authors:  Caroline B Milne; Pan-Jun Kim; James A Eddy; Nathan D Price
Journal:  Biotechnol J       Date:  2009-12       Impact factor: 4.677

8.  Investigating the validity of current network analysis on static conglomerate networks by protein network stratification.

Authors:  Minlu Zhang; Long J Lu
Journal:  BMC Bioinformatics       Date:  2010-09-16       Impact factor: 3.169

9.  Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.

Authors:  Douglas B Kell
Journal:  BMC Med Genomics       Date:  2009-01-08       Impact factor: 3.063

10.  Integrating cellular metabolism into a multiscale whole-body model.

Authors:  Markus Krauss; Stephan Schaller; Steffen Borchers; Rolf Findeisen; Jörg Lippert; Lars Kuepfer
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

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