Tools to accelerate protein structure determination

描述（由申请人提供）：先前的研究表明，癌症相关蛋白具有丰富的内在无序性，鉴于目前用于药物发现的许多技术都被无序蛋白所混淆，总体目标是使生物技术界能够通过开发定制的研究合同来获得对无序蛋白质的理解和有效地工作。这里提出的工具对这些合同的成功至关重要。提出的加速蛋白质结构确定的工具基于两个重要的观察，无序蛋白质不能产生晶体结构。目标是开发两种预测因子，它们将发现1)获得蛋白质晶体的可能性和2)最有可能结构化的蛋白质区域。这些工具将依赖于先前开发的自然无序区域和其他序列决定因素的预测因子。这些工具将为生物技术和制药行业提供有用的分析，以打破3-D结构的瓶颈由于许多癌症相关蛋白含有重要的紊乱区域，这些产品具有改善人类健康的潜力。

DESCRIPTION (provided by applicant): Previous work has shown that cancer-associated proteins are rich in intrinsic disorder Given that many of the current techniques used in drug discovery are confounded by disordered protein, new approaches are required The overall goal is to enable the biotechnology community to gain understanding and work effectively with disordered proteins through development of customized research contracts The tools proposed here are critically important for the success of these contracts The proposed tools to accelerate protein structure determination are based on two important observations disordered proteins fail to yield crystal structures, and a large fraction of solved structures are fragments of longer gene products The goal is to develop two predictors that will find 1) the likelihood of obtaining a protein crystal and 2) the regions of a protein most likely to be structured These tools will rely on previously developed predictors of natural disordered regions and other sequence determinants These tools will provide the biotechnology and pharmaceutical industries with useful analysis for breaking bottlenecks in 3-D structure determination and improving protein target prioritization Since many cancer-associated proteins contain significant disordered regions, these products have potential for improving human health.