Tools to accelerate protein structure determination

描述(申请人提供)：以前的工作已经表明癌症相关蛋白质富含内在无序鉴于目前用于药物发现的许多技术被无序蛋白质所混淆，需要新的方法总的目标是使生物技术社区能够通过开发定制的研究合同来获得了解并有效地处理无序蛋白质这里提出的工具对于这些合同的成功至关重要所提出的加速蛋白质结构确定的工具是基于两个重要的观察结果无序蛋白质不能产生晶体结构，而很大一部分已解决的结构是较长基因产品的片段目标是开发两个预测器，这两个预测器将找到1)获得蛋白质晶体的可能性和2)蛋白质最有可能结构的区域。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器。这些工具将为生物技术和制药行业提供有用的分析，以打破三维结构确定的瓶颈，并提高蛋白质靶标的优先顺序由于许多癌症相关蛋白质包含显著的无序区域，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.