Pharmaceutical Discovery Division, Abbott Laboratories, Abbott Park, IL 60064-3500, United States.
Curr Opin Chem Biol. 2010 Aug;14(4):498-504. doi: 10.1016/j.cbpa.2010.06.166. Epub 2010 Jul 6.
Many successful drugs bind to and modulate multiple targets in vivo. Successfully navigating protein-ligand polypharmacology will be a crucial and increasingly utilized component of pharmaceutical research. As publicly available databases of ligand activity values continue to grow in size and quality, infrastructure is needed to enable scientists to create and interact with these networks to fuel hypothesis-driven science. While most of the individual tools for creating this infrastructure exist, effectively connecting the data to the network to the scientist is very much a work in progress. Standards for publishing network data are also important to facilitate the analysis and comparison of networks from different research groups using different methods.
许多成功的药物在体内结合并调节多个靶点。成功地进行蛋白质-配体多药理学研究将成为药物研究中至关重要且日益得到利用的组成部分。随着配体活性值的公开可用数据库在规模和质量上不断增长,需要构建基础设施来使科学家能够创建和与这些网络交互,以推动基于假设的科学研究。虽然创建此基础设施的大多数单个工具都已存在,但将数据有效地连接到网络再到科学家,这方面仍有许多工作要做。发布网络数据的标准对于促进使用不同方法的不同研究小组的网络分析和比较也很重要。