SHARK-capture identifies functional motifs in intrinsically disordered protein regions.

IF 5.2 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Protein Science Pub Date : 2025-04-01 DOI:10.1002/pro.70091
Chi Fung Willis Chow, Swantje Lenz, Maxim Scheremetjew, Soumyadeep Ghosh, Doris Richter, Ceciel Jegers, Alexander von Appen, Simon Alberti, Agnes Toth-Petroczy
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引用次数: 0

Abstract

Increasing insights into how sequence motifs in intrinsically disordered regions (IDRs) provide functions underscore the need for systematic motif detection. Contrary to structured regions where motifs can be readily identified from sequence alignments, the rapid evolution of IDRs limits the usage of alignment-based tools in reliably detecting motifs within. Here, we developed SHARK-capture, an alignment-free motif detection tool designed for difficult-to-align regions. SHARK-capture innovates on word-based methods by flexibly incorporating amino acid physicochemistry to assess motif similarity without requiring rigid definitions of equivalency groups. SHARK-capture offers consistently strong performance in a systematic benchmark, with superior residue-level performance. SHARK-capture identified known functional motifs across orthologs of the microtubule-associated zinc finger protein BuGZ. We also identified a short motif in the IDR of S. cerevisiae RNA helicase Ded1p, which we experimentally verified to be capable of promoting ATPase activity. Our improved performance allows us to systematically calculate 10,889 motifs for 2695 yeast IDRs and provide it as a resource. SHARK-capture offers the most precise tool yet for the systematic identification of conserved regions in IDRs and is freely available as a Python package (https://pypi.org/project/bio-shark/) and on https://git.mpi-cbg.de/tothpetroczylab/shark.

SHARK-capture识别内在无序蛋白质区域的功能基序。
对内在无序区(IDRs)序列基序如何提供功能的深入了解强调了系统基序检测的必要性。与可以通过序列比对轻松识别基序的结构区域相反,idr的快速进化限制了基于比对的工具在可靠检测内部基序方面的使用。在这里,我们开发了SHARK-capture,这是一种不需要对齐的基序检测工具,专为难以对齐的区域设计。SHARK-capture创新了基于单词的方法,灵活地结合氨基酸物理化学来评估基序相似性,而不需要严格定义等效基团。SHARK-capture在系统基准测试中提供始终如一的强大性能,具有卓越的残留物级性能。SHARK-capture在微管相关锌指蛋白BuGZ的同源物中发现了已知的功能基序。我们还在酿酒酵母RNA解旋酶Ded1p的IDR中发现了一个短基序,我们通过实验验证了它能够促进atp酶的活性。我们改进的性能使我们能够系统地计算2695个酵母idr的10,889个基序,并将其作为资源提供。SHARK-capture提供了迄今为止最精确的工具,用于系统地识别idr中的保护区域,并且可以作为Python包(https://pypi.org/project/bio-shark/)和https://git.mpi-cbg.de/tothpetroczylab/shark免费获得。
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来源期刊
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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