CORE 1 TRP4:THE PROTEOLYSIS MAP (PMAP)

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 技术研究项目4，蛋白质分解图(PMAP)将把计算方法应用于 开发一个包罗万象的蛋白质分解网络的计算地图。蛋白质分解图谱将有助于 科学家通过对数据集进行推理，允许人们通过计算询问 生物刺激、药物抑制或病理生理扰动对蛋白质分解的影响 小路。蛋白质分解图谱将通过基于迭代学习的方法来创建， 填充了关于i)蛋白酶的三维结构，ii)它们的底物的信息 专一性II)整个蛋白质组的降解实验结果，IV)所有可能的共表达 和/或从基因表达谱和其他蛋白质组学研究中报告的共定位模式。

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.