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SHARK-capture可识别内在无序蛋白质区域中的功能基序。

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

作者信息

Chow Chi Fung Willis, Lenz Swantje, Scheremetjew Maxim, Ghosh Soumyadeep, Richter Doris, Jegers Ceciel, von Appen Alexander, Alberti Simon, Toth-Petroczy Agnes

机构信息

Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Center for Systems Biology Dresden, Dresden, Germany.

出版信息

Protein Sci. 2025 Apr;34(4):e70091. doi: 10.1002/pro.70091.

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.

摘要

对内在无序区域(IDR)中的序列基序如何发挥功能的深入了解,凸显了系统基序检测的必要性。与可以从序列比对中轻松识别基序的结构化区域不同,IDR的快速进化限制了基于比对的工具在可靠检测其中基序方面的应用。在此,我们开发了SHARK-capture,这是一种专为难以比对的区域设计的无比对基序检测工具。SHARK-capture在基于词的方法上进行了创新,通过灵活纳入氨基酸物理化学性质来评估基序相似性,而无需对等基团的严格定义。在系统基准测试中,SHARK-capture始终表现出强大的性能,在残基水平上具有卓越的表现。SHARK-capture在微管相关锌指蛋白BuGZ的直系同源物中识别出了已知的功能基序。我们还在酿酒酵母RNA解旋酶Ded1p的IDR中鉴定出一个短基序,我们通过实验验证它能够促进ATP酶活性。我们改进后的性能使我们能够系统地计算2695个酵母IDR的10889个基序,并将其作为一种资源提供。SHARK-capture为系统识别IDR中的保守区域提供了迄今为止最精确的工具,可作为Python包(https://pypi.org/project/bio-shark/)免费获取,也可在https://git.mpi-cbg.de/tothpetroczylab/shark上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95be/11917139/e58424c61b77/PRO-34-e70091-g004.jpg

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