Data Mining: A Unifying Approach for Drug Discovery Integrating genomics, combinatorial chemistry, high throughput screening, and DNA microarrays for drug discovery

摘要

Recent advances in genomics, combinatorial chemistry (CombiChem), high throughput screening (HTS), and DNA microarray technology are having a tremendous impact on biomedical researches, particularly on various stages of the drug discovery process, as shown in the following figure. The synergy between these fields is emerging. A common challenge to researchers in each of these fields is how to turn the massive raw data that have been accumulating into useful information and knowledge in order to guide the process of drug discovery in a more efficient way. This presentation will address the need and the commonalities of data mining in genomics, CombiChem, HTS, and DNA microarrays. The principles of these technologies will be described at first, followed by a discussion on the rational integration of data mining tools into pharmaceutical research. Advances in the analysis of massive gene chip data will be discussed, with focus on our recent results on cancer research and drug discovery.