Clustered regularly interspaced short palindromic repeats (CRISPR) and their associated (Cas) proteins constitute the CRISPR-Cas systems, which play a key role in prokaryote adaptive immune system against invasive foreign elements. In recent years, the CRISPR-Cas systems have also been designed to facilitate target gene editing in eukaryotic genomes. As one of the important components of the CRISPR-Cas system, Cas protein plays an irreplaceable role. The effector module composed of Cas proteins is used to distinguish the type of CRISPR-Cas systems. Effective prediction and identification of Cas proteins can help biologists further infer the type of CRISPR-Cas systems. Moreover, the class 2 CRISPR-Cas systems are gradually applied in the field of genome editing. The discovery of Cas protein will help provide more candidates for genome editing. In this paper, we described a web service named CASPredict (http://i.uestc.edu.cn/caspredict/cgi-bin/CASPredict.pl) for identifying Cas proteins. CASPredict first predicts Cas proteins based on support vector machine (SVM) by using the optimal dipeptide composition and then annotates the function of Cas proteins based on the hmmscan search algorithm. The ten-fold cross-validation results showed that the 84.84% of Cas proteins were correctly classified. CASPredict will be a useful tool for the identification of Cas proteins, or at least can play a complementary role to the existing methods in this area.

中文翻译：

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CASPredict：用于识别 Cas 蛋白的网络服务

成簇的规则间隔短回文重复序列 (CRISPR) 及其相关 (Cas) 蛋白构成了 CRISPR-Cas 系统，其在原核生物适应性免疫系统中针对侵入性外来元素发挥关键作用。近年来，CRISPR-Cas 系统也被设计用于促进真核基因组中的目标基因编辑。Cas蛋白作为CRISPR-Cas系统的重要组成部分之一，发挥着不可替代的作用。由Cas蛋白组成的效应器模块用于区分CRISPR-Cas系统的类型。Cas蛋白的有效预测和鉴定可以帮助生物学家进一步推断CRISPR-Cas系统的类型。此外，2类CRISPR-Cas系统也逐渐应用于基因组编辑领域。Cas蛋白的发现将有助于为基因组编辑提供更多候选者。在本文中，我们描述了一个名为 CASPredict (http://i.uestc.edu.cn/caspredict/cgi-bin/CASPredict.pl) 的网络服务，用于识别 Cas 蛋白。CASPredict首先利用最优二肽组成基于支持向量机（SVM）预测Cas蛋白，然后基于hmmscan搜索算法标注Cas蛋白的功能。十倍交叉验证结果表明，84.84%的Cas蛋白被正确分类。CASPredict 将是鉴定 Cas 蛋白的有用工具，或者至少可以对这一领域的现有方法起到补充作用。CASPredict首先利用最优二肽组成基于支持向量机（SVM）预测Cas蛋白，然后基于hmmscan搜索算法标注Cas蛋白的功能。十倍交叉验证结果表明，84.84%的Cas蛋白被正确分类。CASPredict 将是鉴定 Cas 蛋白的有用工具，或者至少可以对这一领域的现有方法起到补充作用。CASPredict首先利用最优二肽组成基于支持向量机（SVM）预测Cas蛋白，然后基于hmmscan搜索算法标注Cas蛋白的功能。十倍交叉验证结果表明，84.84%的Cas蛋白被正确分类。CASPredict 将是鉴定 Cas 蛋白的有用工具，或者至少可以对这一领域的现有方法起到补充作用。