Computational Systems Bioinformatics and Bioimaging for Pathway Analysis and Drug Screening

Xiaobo Zhou, S. Wong
2008 Proceedings of the IEEE  
The premise of today's drug development is that the mechanism of a disease is highly dependent upon underlying signaling and cellular pathways. Such pathways are often composed of complexes of physically interacting genes, proteins, or biochemical activities coordinated by metabolic intermediates, ions, and other small solutes and are investigated with molecular biology approaches in genomics, proteomics, and metabonomics. Nevertheless, the recent declines in the pharmaceutical industry's
more » ... es indicate such approaches alone may not be adequate in creating successful new drugs. Our observation is that combining methods of genomics, proteomics, and metabonomics with techniques of bioimaging will systematically provide powerful means to decode or better understand molecular interactions and pathways that lead to disease and potentially generate new insights and indications for drug targets. The former methods provide the profiles of genes, proteins, and metabolites, whereas the latter techniques generate objective, quantitative phenotypes correlating to the molecular profiles and interactions. In this paper, we describe pathway reconstruction and target validation based on the proposed systems biologic approach and show selected application examples for pathway analysis and drug screening. Keywords iomarker discovery; drug discovery; high-content screen; high-throughput screen; RNAi; system bioinformatics and bioimaging; target validation ©2008 IEEE To expedite the discovery of new drugs, researchers can analyze the pathways for cellular processes and biological signals, then observe physical characteristics using biological imaging to verify drug effects NIH Public Access
doi:10.1109/jproc.2008.925440 pmid:20011613 pmcid:PMC2790217 fatcat:lqqa3pfffjet5gpstqndjsz4la