Background In various biological processes and cell functions, Post Translational Modifications (PTMs) bear critical significance. Hydroxylation of proline residue is one kind of PTM, which occurs following protein synthesis. The experimental determination of hydroxyproline sites in an uncharacterized protein sequence requires extensive, time-consuming and expensive tests. Methods With the torrential slide of protein sequences produced in the post-genomic age, certain remarkable computational strategies are desired to overwhelm the issue. Keeping in view the composition and sequence order effect within polypeptide chains, an innovative in-silico> predictor via a mathematical model is proposed. Results Later, it was stringently verified using self-consistency, cross-validation and jackknife tests on benchmark datasets. It was established after a rigorous jackknife test that the new predictor values are superior to the values predicted by previous methodologies. Conclusion This new mathematical technique is the most appropriate and encouraging as compared with the existing models.

中文翻译：

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iHyd-PseAAC (EPSV)：通过 Chou 的 5 步规则和一般假氨基酸组成提取增强的位置和序列变异特征来识别蛋白质中的羟基化位点

背景 在各种生物过程和细胞功能中，翻译后修饰 (PTM) 具有至关重要的意义。脯氨酸残基的羟基化是一种 PTM，发生在蛋白质合成之后。未表征的蛋白质序列中羟脯氨酸位点的实验测定需要大量、耗时且昂贵的测试。方法随着后基因组时代产生的蛋白质序列的急剧下滑，需要某些非凡的计算策略来解决这个问题。考虑到多肽链内的组成和序列顺序效应，提出了一种通过数学模型进行的创新 in-silico> 预测器。结果后来，它在基准数据集上使用自我一致性、交叉验证和折刀测试进行了严格验证。经过严格的折刀测试后确定，新的预测值优于以前方法预测的值。结论与现有模型相比，这种新的数学技术是最合适和最令人鼓舞的。