自2000年代初以来,已经创建了许多计算工具并用于预测蛋白质的内在紊乱。目前,从这些算法的输出是很难解释在缺乏标准或参考进行比较。建立一套基于标准的指南来评估计算蛋白质紊乱预测有很多原因。这个观点探讨了其中一些原因,包括标准化术语以改善沟通,严谨性和再现性,让新手更容易进入这个领域。讨论了一种报告单个蛋白质相对于整个蛋白质组的预测疾病的方法。这些建议并非公式化;它们应被视为建立解释和报告计算蛋白质疾病预测指南的起点。
Since the early 2000s, numerous computational tools have been created and used to predict intrinsic disorder in proteins. At present, the output from these algorithms is difficult to interpret in the absence of standards or references for comparison. There are many reasons to establish a set of standard-based
guidelines to evaluate computational protein disorder predictions. This viewpoint explores a handful of these reasons, including standardizing nomenclature to improve communication, rigor and reproducibility, and making it easier for newcomers to enter the field. An approach for reporting predicted disorder in single proteins with respect to whole proteomes is discussed. The suggestions are not intended to be formulaic; they should be viewed as a starting point to establish
guidelines for interpreting and reporting computational protein disorder predictions.