Suppr超能文献

高可信度小型人类蛋白质的生物物理特性分析

Biophysical characterization of high-confidence, small human proteins.

作者信息

Whited A M, Jungreis Irwin, Allen Jeffre, Cleveland Christina L, Mudge Jonathan M, Kellis Manolis, Rinn John L, Hough Loren E

机构信息

BioFrontiers Institute, University of Colorado, Boulder, CO, USA.

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

出版信息

bioRxiv. 2024 Apr 15:2024.04.12.589296. doi: 10.1101/2024.04.12.589296.

Abstract

Significant efforts have been made to characterize the biophysical properties of proteins. Small proteins have received less attention because their annotation has historically been less reliable. However, recent improvements in sequencing, proteomics, and bioinformatics techniques have led to the high-confidence annotation of small open reading frames (smORFs) that encode for functional proteins, producing smORF-encoded proteins (SEPs). SEPs have been found to perform critical functions in several species, including humans. While significant efforts have been made to annotate SEPs, less attention has been given to the biophysical properties of these proteins. We characterized the distributions of predicted and curated biophysical properties, including sequence composition, structure, localization, function, and disease association of a conservative list of previously identified human SEPs. We found significant differences between SEPs and both larger proteins and control sets. Additionally, we provide an example of how our characterization of biophysical properties can contribute to distinguishing protein-coding smORFs from non-coding ones in otherwise ambiguous cases.

摘要

人们已付出巨大努力来描述蛋白质的生物物理特性。小蛋白质受到的关注较少,因为从历史上看,它们的注释可靠性较低。然而,测序、蛋白质组学和生物信息学技术最近的进展已导致对编码功能蛋白的小开放阅读框(smORF)进行高可信度注释,从而产生smORF编码蛋白(SEP)。已发现SEP在包括人类在内的多个物种中发挥关键功能。虽然人们已付出巨大努力来注释SEP,但对这些蛋白质的生物物理特性关注较少。我们描述了预测和整理的生物物理特性的分布情况,包括先前鉴定的人类SEP保守列表的序列组成、结构、定位、功能和疾病关联。我们发现SEP与较大蛋白质和对照组之间存在显著差异。此外,我们提供了一个示例,说明我们对生物物理特性的描述如何有助于在其他不明确的情况下区分蛋白质编码smORF和非编码smORF。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdbf/11042228/221e262fa623/nihpp-2024.04.12.589296v1-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验