Computational chemogenomics approaches to systematic knowledge-based drug discovery.

摘要: Chemogenomics, the identification of all possible drugs for targets, has recently emerged as a new paradigm in drug discovery which efficiency compound design and optimization process is achieved through gain reuse targeted knowledge. As knowledge resides at interface between chemistry biology, computational tools aimed integrating chemical biological spaces play central role chemogenomics. This review covers recent progress made integrative approaches to data annotation generation systematic knowledge-based screening libraries.