Taboureau Olivier, Nielsen Sonny Kim, Audouze Karine, Weinhold Nils, Edsgärd Daniel, Roque Francisco S, Kouskoumvekaki Irene, Bora Alina, Curpan Ramona, Jensen Thomas Skøt, Brunak Søren, Oprea Tudor I
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, DK-2800 Denmark.
Nucleic Acids Res. 2011 Jan;39(Database issue):D367-72. doi: 10.1093/nar/gkq906. Epub 2010 Oct 8.
Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a critical need to develop network-based approaches to integrate the growing body of chemical biology knowledge with network biology. Here, we report ChemProt, a disease chemical biology database, which is based on a compilation of multiple chemical-protein annotation resources, as well as disease-associated protein-protein interactions (PPIs). We assembled more than 700,000 unique chemicals with biological annotation for 30,578 proteins. We gathered over 2-million chemical-protein interactions, which were integrated in a quality scored human PPI network of 428,429 interactions. The PPI network layer allows for studying disease and tissue specificity through each protein complex. ChemProt can assist in the in silico evaluation of environmental chemicals, natural products and approved drugs, as well as the selection of new compounds based on their activity profile against most known biological targets, including those related to adverse drug events. Results from the disease chemical biology database associate citalopram, an antidepressant, with osteogenesis imperfect and leukemia and bisphenol A, an endocrine disruptor, with certain types of cancer, respectively. The server can be accessed at http://www.cbs.dtu.dk/services/ChemProt/.
系统药理学是一个新兴领域,它研究药物在从分子和细胞到组织和生物体水平的多个复杂尺度上的作用。迫切需要开发基于网络的方法,以将日益增长的化学生物学知识与网络生物学整合起来。在此,我们报告了ChemProt,一个疾病化学生物学数据库,它基于多种化学-蛋白质注释资源以及疾病相关的蛋白质-蛋白质相互作用(PPI)的汇编。我们收集了超过700,000种具有30,578种蛋白质生物学注释的独特化学物质。我们收集了超过200万种化学-蛋白质相互作用,并将其整合到一个包含428,429种相互作用的经过质量评分的人类PPI网络中。PPI网络层允许通过每个蛋白质复合物研究疾病和组织特异性。ChemProt可以协助对环境化学物质、天然产物和已批准药物进行计算机模拟评估,以及根据它们对大多数已知生物靶点(包括与药物不良事件相关的靶点)的活性谱选择新化合物。疾病化学生物学数据库的结果分别将抗抑郁药西酞普兰与成骨不全症和白血病以及内分泌干扰物双酚A与某些类型的癌症联系起来。可通过http://www.cbs.dtu.dk/services/ChemProt/访问该服务器。