Authors: Lilburn, Timothy G.; Wang, Yufeng

Source: Current Computer - Aided Drug Design, Volume 2, Number 3, September 2006 , pp. 267-274(8)

Publisher: Bentham Science Publishers

Abstract:

With the advent of the post-genomic era, systems biology has set the stage for a quantum leap in our understanding of the fundamental cellular processes, phenotypic variations, and disease mechanisms. By integrating the vast amount data from genomics, transcriptomics, and proteomics analyses, systems biology seeks a holistic view of organisms and the modules that compose them. The approaches to a systems level view of biology can be broadly classified as either deterministic or probabilistic. The former approach generates highly detailed views that are mechanistic and often quantitative, while the latter type of approach generates high level views that have usually been qualitative. An ability to see and describe the systems-level processes in the organism and thereby identify potential vulnerabilities could expedite the process of drug discovery and development. A systems biology approach will aid in at least four of the major stages of this process: target identification, target validation, preclinical testing and clinical trials. We give an overview of systems biology and describe, with examples, how it is being used for drug discovery and development.

Keywords: Systems biology; drug discovery; data analysis; networks; deterministic modeling; probabilistic modeling; models; pharmaceuticals

Document Type: Research article

DOI: http://dx.doi.org/10.2174/157340906778226445

Affiliations: 1: Department of Bacteriology, American Type Culture Collection, Manassas, VA 20110, USA.

Publication date: 2006-09-01

More about this publication?

• Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, etc., providing excellent rationales for drug development.

Related content

• In this: publication
• By this: publisher
• In this Subject: Computer Science ,  Pharmacology
• By this author: Lilburn, Timothy G. ;  Wang, Yufeng

Website © Publishing Technology. Article copyright remains with the publisher, society or author(s) as specified within the article.

• Terms and conditions
• Privacy policy
• Information for advertisers