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蛋白质语言模型识别出与相分离相关的无序保守基序。

Protein Language Model Identifies Disordered, Conserved Motifs Implicated in Phase Separation.

作者信息

Zhang Yumeng, Zheng Jared, Zhang Bin

机构信息

Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.

Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.

出版信息

bioRxiv. 2025 Jul 23:2024.12.12.628175. doi: 10.1101/2024.12.12.628175.

DOI:10.1101/2024.12.12.628175
PMID:40777465
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12330624/
Abstract

Intrinsically disordered regions (IDRs) play a critical role in phase separation and are essential for the formation of membraneless organelles (MLOs). Mutations within IDRs can disrupt their multivalent interaction networks, altering phase behavior and contributing to various diseases. Therefore, examining the evolutionary constraints of IDRs provides valuable insights into the relationship between protein sequences and phase separation. In this study, we utilized the ESM2 protein language model to map the residue-level mutational tolerance landscapes landscape of IDRs. Our findings reveal that IDRs, particularly those actively participating in phase separation, contain conserved amino acids. This conservation is evident through mutational constraints predicted by ESM2 and supported by direct analyses of multiple sequence alignments. These conserved, disordered amino acids include residues traditionally identified as "stickers" as well as "spacers" and frequently form continuous sequence motifs. The strong conservation, combined with their potential role in phase separation, suggests that these motifs may act as functional units under evolutionary selection to support stable MLO formation. Our findings underscore the insights into phase separation's molecular grammar made possible through evolutionary analysis enabled by protein language models.

摘要

内在无序区域(IDRs)在相分离中起关键作用,对于无膜细胞器(MLOs)的形成至关重要。IDRs内的突变可破坏其多价相互作用网络,改变相行为并导致各种疾病。因此,研究IDRs的进化限制有助于深入了解蛋白质序列与相分离之间的关系。在本研究中,我们利用ESM2蛋白质语言模型绘制了IDRs的残基水平突变耐受图谱。我们的研究结果表明,IDRs,特别是那些积极参与相分离的IDRs,包含保守氨基酸。通过ESM2预测的突变限制以及对多序列比对的直接分析,这种保守性很明显。这些保守的无序氨基酸包括传统上被鉴定为“贴纸”以及“间隔物”的残基,并经常形成连续的序列基序。这种强烈的保守性,加上它们在相分离中的潜在作用,表明这些基序可能作为进化选择下的功能单元,以支持稳定的MLO形成。我们的研究结果强调了通过蛋白质语言模型实现的进化分析,对相分离分子语法的深入理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/a2bb2b7da4df/nihpp-2024.12.12.628175v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/d8833431404a/nihpp-2024.12.12.628175v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/890f79d702d2/nihpp-2024.12.12.628175v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/dccc74fd8038/nihpp-2024.12.12.628175v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/a86f0fc779e6/nihpp-2024.12.12.628175v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/a2bb2b7da4df/nihpp-2024.12.12.628175v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/d8833431404a/nihpp-2024.12.12.628175v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/890f79d702d2/nihpp-2024.12.12.628175v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/dccc74fd8038/nihpp-2024.12.12.628175v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/a86f0fc779e6/nihpp-2024.12.12.628175v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/12330624/a2bb2b7da4df/nihpp-2024.12.12.628175v2-f0005.jpg

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