'Paper Review'에 해당되는 글 2건
2008/06/27 00:14
Computational systems biology is an emerging field in biological simulation that attempts to model or simulate intra- and intercellular events using data gathered from genomic, proteomic or metabolomic experiments. The need to model complex temporal and spatiotemporal processes at many different scales has led to the emergence of numerous techniques, including systems of differential equations, Petri nets, cellular automata simulators, agent-based models and pi calculus. This review provides a brief summary and an assessment of most of these approaches. It also provides examples of how these methods are being used to facilitate drug discovery and development.
2008/06/23 02:21
Anti-Bacterial Drug Discovery Using Systems Biology
Author: Kumble, K. D.1
Source: Mini Reviews in Medicinal Chemistry, Volume 6, Number 11, November 2006 , pp. 1275-1283(9)
Publisher: Bentham Science Publishers
Abstract:
The pipeline for new antibacterials is bleak despite the fact that infectious diseases account for a quarter of all worldwide deaths due to disease. Bacteria are ideal organisms for a systems biology approach to understanding pathogenesis by combined use of genomic technologies and computer algorithms. This approach can be applied to identify control points in molecular networks, which could be targets for novel drugs.Keywords: Genomics; systems biology; molecular networks; antibacterials; pathogens
Document Type: Research article
DOI: 10.2174/138955706778742803
Affiliations: 1: Genesis Research and Development Corporation Limited, One Fox Street, Parnell, Auckland, New Zealand.
