Towards quantitative biology: integration of biological information to elucidate disease pathways and to guide drug discovery.

摘要: Abstract Developing a new drug is tedious and expensive undertaking. The recently developed high-throughput experimental technologies, summarised by the terms genomics, transcriptomics, proteomics metabolomics provide for first time ever means to comprehensively monitor molecular level of disease processes. “-omics” technologies facilitate systematic characterisation target's physiology, thereby helping reduce typically high attrition rates in discovery projects, improving overall efficiency pharmaceutical research Currently, bottleneck taking full advantage are rapidly growing volumes automatically produced biological data. A lack scalable database systems computational tools target has been recognised as major hurdle. In this review, an overview will be given on recent progress biology that impact applications. focus novel silico methods reconstruct regulatory networks, signalling cascades, metabolic pathways, with emphasis comparative genomics microarray-based approaches. Promising methods, such mathematical simulation pathway dynamics discussed context applications projects. review concludes exemplifying concrete data-driven studies demonstrate value integrated identification validation, screening assay development, well candidate efficacy toxicity evaluations.