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Drug Discovery Today 2014 v.19 №02

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Drug Discovery Today 2014 v.19 №02
London, UK.: Elsevier. — 224 p.
Since its launch in 1996, Drug Discovery Today has been at the cutting edge of the science underpinning drug discovery and development. Drug Discovery Today delivers highly current reviews to the readers, not only addressing the rapid scientific developments in drug discovery associated technologies, but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed.
Systems biology in drug discovery and development
Ellen L. Berg
Genomics and transcriptomics in drug discovery
Joaquin Dopazo
Genomic and systems approaches to translational biomarker discovery in immunological diseases
Kenzie D. MacIsaac, I-Ming Wang, Joseph Menetski and Christopher Roberts
Text mining for systems biology
Juliane Fluck and Martin Hofmann-Apitius
Mathematical modeling in cancer drug discovery
Zhihui Wang and Thomas S. Deisboeck
Methods of biological network inference for reverse engineering cancer chemoresistance mechanisms
Paola Lecca
Lipidomics in drug discovery
Terhi Vihervaara, Matti Suoniemi and Reijo Laaksonen
Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery
Douglas B. Kell and Royston Goodacre
Case study: the role of mechanistic network models in systems toxicology
Julia Hoeng, Marja Talikka, Florian Martin, Alain Sewer, Xiang Yang, Anita Iskandar, Walter K. Schlage and Manuel C. Peitsch
Recent advances in modeling languages for pathway maps and computable biological networks
Ted Slater
A decade of Systems Biology: where are we and where are we going to?
Manuel C. Peitsch and David de Graaf
Systems diagnostics: anticipating the next generation of diagnostic tests based on mechanistic insight into disease
David A. Fryburg, Diane H. Song, Daphna Laifenfeld and David de Graaf
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