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Small proteins: untapped area of potential biological importance

机译:小蛋白:尚未开发的潜在生物领域

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摘要

Polypeptides containing ≤100 amino acid residues (AAs) are generally considered to be small proteins (SPs). Many studies have shown that some SPs are involved in important biological processes, including cell signaling, metabolism, and growth. SP generally has a simple domain and has an advantage to be used as model system to overcome folding speed limits in protein folding simulation and drug design. But SPs were once thought to be trivial molecules in biological processes compared to large proteins. Because of the constraints of experimental methods and bioinformatics analysis, many genome projects have used a length threshold of 100 amino acid residues to minimize erroneous predictions and SPs are relatively under-represented in earlier studies. The general protein discovery methods have potential problems to predict and validate SPs, and very few effective tools and algorithms were developed specially for SPs identification. In this review, we mainly consider the diverse strategies applied to SPs prediction and discuss the challenge for differentiate SP coding genes from artifacts. We also summarize current large-scale discovery of SPs in species at the genome level. In addition, we present an overview of SPs with regard to biological significance, structural application, and evolution characterization in an effort to gain insight into the significance of SPs.
机译:包含≤100个氨基酸残基(AAs)的多肽通常被认为是小蛋白(SPs)。许多研究表明,某些SP参与重要的生物过程,包括细胞信号传导,代谢和生长。 SP通常具有简单的领域,并具有用作模型系统的优势,可以克服蛋白质折叠模拟和药物设计中的折叠速度限制。但是,与大蛋白相比,SP在生物学过程中曾经被认为是微不足道的分子。由于实验方法和生物信息学分析的限制,许多基因组计划已使用100个氨基酸残基的长度阈值来最大程度地减少错误的预测,而SP在早期研究中相对不足。普通的蛋白质发现方法在预测和验证SP方面存在潜在的问题,很少专门开发用于SP识别的有效工具和算法。在这篇综述中,我们主要考虑应用于SP预测的各种策略,并讨论区分SP编码基因与伪像的挑战。我们还总结了当前在基因组水平上物种中SP的大规模发现。此外,我们对SP的生物学意义,结构应用和进化特征进行了概述,以期深入了解SP的重要性。

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