Bioinformatic tool for cancer protein analysis

描述(申请人提供)：在主要的从序列到功能的范例中，三维结构是蛋白质功能的必备前提。尽管在文献中可以找到100多个反例，但对与非折叠(无序)蛋白质相关的功能的概括大多被忽略了。将我们专有的生物信息学软件PONDRS应用于癌基因，发现很大一部分癌症相关蛋白包含对功能至关重要的大的内在无序区域。 因此，将开发一个癌症特定资源数据库，癌症DisProtTM及其配套的方案手册，以纳入致癌基因的功能紊乱数据。 使用PONDR，无序/有序预测将与一组具有代表性的癌症相关蛋白质的功能相关联。数据挖掘这些相关性应该揭示无序/有序状态与各种蛋白质功能之间的关系，从而证明这种方法的实用性。最终，癌症DisProt数据库将是数百个癌症相关蛋白质的概要，这些蛋白质具有与功能相关的实验确定的紊乱区域。 癌症DisProt将成为一种有用的生物信息学工具，用于对整个基因组进行功能注释。该数据库增加了研究反例蛋白质的方法，将为设计开发癌症治疗和/或药物发现的新方法提供基础。

DESCRIPTION (provided by applicant): In the predominant sequence-to-function paradigm, 3-D structure is an obligatory prerequisite for protein function. Even though over 100 counter examples can be found in literature, generalization of the functions associated with non-folded (disordered) protein has been mostly ignored. Applying our proprietary bioinformatics software PONDRs on oncogenes, a large fraction of cancer-associated proteins was found to contain large intrinsically disordered regions crucial to function. Thus, a cancer-specific resource database, Cancer DisProtTM and its companion protocol manual will be developed to incorporate functional disordered data for oncogenes. Using PONDRs, disorder/order predictions will be correlated with functions of a representative set of cancer-associated proteins. Data mining these correlations should reveal relationships between disorder/order state and various protein functions, demonstrating the utility of this approach. Ultimately, Cancer DisProt database will be a compendium of hundreds of cancer-associated proteins with experimentally determined regions of disorder correlated with functions. Cancer DisProt will be a useful bioinformatics tool for functional annotation of entire genomes. The database, augmented with methods for studying counter example proteins, will provide the basis for design of novel approaches to the development of cancer treatments and/or drug discovery.