CORE 1 TRP4:THE PROTEOLYSIS MAP (PMAP)

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 技术研究项目4，蛋白水解图谱（PMAP），将应用计算方法， 开发一个包罗万象的蛋白水解网络计算图。蛋白水解图谱将有助于 科学家在推理通过数据集，让一个计算询问 生物刺激、药物抑制或病理生理扰动对蛋白水解的影响 途径。蛋白水解图谱将通过基于迭代学习的方法创建， 填充有关于i）蛋白酶的三维结构，ii）它们的底物 特异性ii）全蛋白质组中降解组实验的结果，iv）所有潜在的共表达 和/或从基因表达谱和从其它蛋白质组学研究报道的共定位模式。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Technical Research Project 4, The Proteolysis Map (PMAP), will apply computational methods to develop an all-encompassing computational map of proteolytic networks. The Proteolysis Map will aid scientists in reasoning through the data sets by allowing one to computationally interrogate the effects of biological stimuli, drug inhibition, or pathophysiologic perturbations on proteolytic pathways. The Proteolysis Map will be created through an iterative learning-based approach, populated with information on i) the three dimensional structure of proteases, ii) their substrate specificity ii) results of degradomic experiments in whole proteomes, iv) all potential co-expression and/or co-localization patterns reported from gene expression profiling and from other proteomic studies.