Jacoby Edgar, Schuffenhauer Ansgar, Floersheim Philipp
Compound Management and Computation Unit, Novartis Lead Discovery Center, Novartis Pharma AG, Basel, Switzerland.
Drug News Perspect. 2003 Mar;16(2):93-102. doi: 10.1358/dnp.2003.16.2.829326.
In the postgenomic age of drug discovery, targets can no longer be viewed as singular objects having no relationship to one another. All targets are now visible and the systematic exploration of selected target families appears to be a promising way to speed up and further industrialize target-based drug discovery. Chemogenomics refers to such systematic exploration of target families and aims to identify all possible ligands of all target families. Because biology works by applying prior knowledge to an unknown entity, chemogenomics approaches are expected to be especially effective within the previously well-explored target families, for which, in addition to the protein sequence and structure information, considerable knowledge of pharmacologically active structural classes and structure-activity relationships exists. For the new target families, chemical knowledge will have to be generated and beyond biological target validation, the emphasis is on chemistry to provide the molecules with which their novel biology and pharmacology can be studied. Using examples from the previously most successfully explored target families, the GPCR family in particular, we summarize herein our current chemogenomics knowledge-based strategies for drug discovery, which are founded on the high integration of chem and bioinformatics, thereby providing a molecular informatics frame for the exploration of the new target families.
在药物发现的后基因组时代,靶点不能再被视为彼此毫无关联的单一实体。如今,所有靶点都已明晰,对选定靶点家族进行系统探索似乎是加速基于靶点的药物发现并使其进一步工业化的一条充满前景的途径。化学基因组学指的就是对靶点家族进行这样的系统探索,旨在识别所有靶点家族的所有可能配体。由于生物学是通过将先验知识应用于未知实体来发挥作用的,化学基因组学方法预计在先前已充分探索的靶点家族中会特别有效,对于这些靶点家族,除了蛋白质序列和结构信息外,还存在大量关于药理活性结构类别和构效关系的知识。对于新的靶点家族,必须生成化学知识,并且除了生物靶点验证之外,重点在于利用化学方法提供能够用于研究其新生物学特性和药理学特性的分子。我们以先前探索最为成功的靶点家族(尤其是GPCR家族)为例,在此总结我们目前基于化学基因组学知识的药物发现策略,这些策略建立在化学与生物信息学的高度整合基础之上,从而为新靶点家族的探索提供一个分子信息学框架。