In recent years, several experimental evidences suggest that amino acid repeats are closely linked to many disease conditions, as they have a significant role in evolution of disordered regions of the polypeptide segments. Even though many algorithms and databases were developed for such analysis, each algorithm has some caveats, like limitation on the number of amino acids within the repeat patterns and number of query protein sequences. To this end, in the present work, a new method called the internal sequence repeats across multiple protein sequences (ISRMPS) is proposed for the first time to identify identical repeats across multiple protein sequences. It also identifies distantly located repeat patterns in various protein sequences. Our method can be applied to study evolutionary relationships, epitope mapping, CRISPR-Cas sequencing methods, and other comparative analytical assessments of protein sequences.

近年来，一些实验证据表明，氨基酸重复与许多疾病密切相关，因为它们在多肽片段无序区域的进化中具有重要作用。尽管为此类分析开发了许多算法和数据库，但每种算法都有一些注意事项，例如重复模式内氨基酸数量和查询蛋白质序列数量的限制。为此，在本工作中，首次提出了一种称为跨多个蛋白质序列的内部序列重复（ISRMPS）的新方法来识别多个蛋白质序列上的相同重复。它还可以识别各种蛋白质序列中位置较远的重复模式。我们的方法可用于研究进化关系、表位作图、CRISPR-Cas 测序方法以及蛋白质序列的其他比较分析评估。