• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

MobiDB-lite 4.0:更快地预测蛋白质内在无序性和结构紧凑性

MobiDB-lite 4.0: faster prediction of intrinsic protein disorder and structural compactness.

作者信息

Mehdiabadi Mahta, Blum Matthias, Tesei Giulio, von Bülow Sören, Lindorff-Larsen Kresten, Tosatto Silvio C E, Piovesan Damiano

机构信息

Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy.

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, United Kingdom.

出版信息

Bioinformatics. 2025 May 6;41(5). doi: 10.1093/bioinformatics/btaf297.

DOI:10.1093/bioinformatics/btaf297
PMID:40347452
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12122076/
Abstract

MOTIVATION

In recent years, many disorder predictors have been developed to identify intrinsically disordered regions (IDRs) in proteins, achieving high accuracy. However, it may be difficult to interpret differences in predictions across methods. Consensus methods offer a simple solution, highlighting reliable predictions while filtering out uncertain positions. Here, we present a new version of MobiDB-lite, a consensus method designed to predict long IDRs and classify them based on compositional biases and conformational properties.

RESULTS

MobiDB-lite 4.0 pipeline was optimized to be ten times faster than the previous version. It now provides compactness annotations based on predicted apparent scaling exponent. The newly added features and disorder subclassifications allow the users to get a comprehensive insight into the protein's function and characteristics. MobiDB-lite 4.0 is integrated into the MobiDB and DisProt databases. A version without the compactness predictor is integrated into InterProScan, propagating MobiDB-lite annotations to UniProtKB.

AVAILABILITY AND IMPLEMENTATION

The MobiDB-lite 4.0 source code and a Docker container are available from the GitHub repository: https://github.com/BioComputingUP/MobiDB-lite.

摘要

动机

近年来,已开发出许多无序预测器来识别蛋白质中的内在无序区域(IDR),并取得了很高的准确率。然而,不同方法之间的预测差异可能难以解释。共识方法提供了一个简单的解决方案,突出可靠的预测,同时过滤掉不确定的位置。在此,我们展示了新版本的MobiDB-lite,这是一种共识方法,旨在预测长IDR,并根据组成偏差和构象特性对其进行分类。

结果

MobiDB-lite 4.0流程经过优化,速度比上一版本快十倍。它现在基于预测的表观标度指数提供紧凑性注释。新添加的功能和无序子分类使用户能够全面了解蛋白质的功能和特性。MobiDB-lite 4.0已集成到MobiDB和DisProt数据库中。一个没有紧凑性预测器的版本已集成到InterProScan中,将MobiDB-lite注释传播到UniProtKB。

可用性和实现方式

MobiDB-lite 4.0的源代码和一个Docker容器可从GitHub仓库获取:https://github.com/BioComputingUP/MobiDB-lite 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0540/12122076/523130807817/btaf297f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0540/12122076/523130807817/btaf297f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0540/12122076/523130807817/btaf297f1.jpg

相似文献

1
MobiDB-lite 4.0: faster prediction of intrinsic protein disorder and structural compactness.MobiDB-lite 4.0:更快地预测蛋白质内在无序性和结构紧凑性
Bioinformatics. 2025 May 6;41(5). doi: 10.1093/bioinformatics/btaf297.
2
MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins.MobiDB-lite 3.0:蛋白质内在无序特征的快速一致性注释
Bioinformatics. 2021 Apr 1;36(22-23):5533-5534. doi: 10.1093/bioinformatics/btaa1045.
3
MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins.MobiDB-lite:蛋白质内在无序的快速且高度特异的一致性预测
Bioinformatics. 2017 May 1;33(9):1402-1404. doi: 10.1093/bioinformatics/btx015.
4
Searching and Using MobiDB Resource 6 to Explore Predictions and Annotations for Intrinsically Disordered Proteins.搜索并使用MobiDB资源6来探索内在无序蛋白质的预测和注释。
Curr Protoc. 2024 Dec;4(12):e70077. doi: 10.1002/cpz1.70077.
5
MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins.MobiDB 2.0:一个关于内在无序和可移动蛋白质的改进数据库。
Nucleic Acids Res. 2015 Jan;43(Database issue):D315-20. doi: 10.1093/nar/gku982. Epub 2014 Oct 31.
6
MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins.2025年的MOBIDB:整合内在无序蛋白质的整体特性和功能注释
Nucleic Acids Res. 2025 Jan 6;53(D1):D495-D503. doi: 10.1093/nar/gkae969.
7
Exploring Protein Intrinsic Disorder with MobiDB.利用 MobiDB 探索蛋白质固有无序性。
Methods Mol Biol. 2020;2141:127-143. doi: 10.1007/978-1-0716-0524-0_6.
8
MobiDB: 10 years of intrinsically disordered proteins.MobiDB:10 年的无序蛋白质。
Nucleic Acids Res. 2023 Jan 6;51(D1):D438-D444. doi: 10.1093/nar/gkac1065.
9
MobiDB: intrinsically disordered proteins in 2021.MobiDB:2021 年无规卷曲蛋白
Nucleic Acids Res. 2021 Jan 8;49(D1):D361-D367. doi: 10.1093/nar/gkaa1058.
10
MobiDB: a comprehensive database of intrinsic protein disorder annotations.MobiDB:一个全面的内在蛋白无序注释数据库。
Bioinformatics. 2012 Aug 1;28(15):2080-1. doi: 10.1093/bioinformatics/bts327. Epub 2012 Jun 1.

本文引用的文献

1
InterPro: the protein sequence classification resource in 2025.InterPro:2025年的蛋白质序列分类资源。
Nucleic Acids Res. 2025 Jan 6;53(D1):D444-D456. doi: 10.1093/nar/gkae1082.
2
UniProt: the Universal Protein Knowledgebase in 2025.通用蛋白质知识库(UniProt):2025年的情况
Nucleic Acids Res. 2025 Jan 6;53(D1):D609-D617. doi: 10.1093/nar/gkae1010.
3
MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins.2025年的MOBIDB:整合内在无序蛋白质的整体特性和功能注释
Nucleic Acids Res. 2025 Jan 6;53(D1):D495-D503. doi: 10.1093/nar/gkae969.
4
Direct prediction of intrinsically disordered protein conformational properties from sequence.从序列直接预测内在无序蛋白质的构象性质。
Nat Methods. 2024 Mar;21(3):465-476. doi: 10.1038/s41592-023-02159-5. Epub 2024 Jan 31.
5
Conformational ensembles of the human intrinsically disordered proteome.人类内在无序蛋白质组的构象集合
Nature. 2024 Feb;626(8000):897-904. doi: 10.1038/s41586-023-07004-5. Epub 2024 Jan 31.
6
DisProt in 2024: improving function annotation of intrinsically disordered proteins.2024 年的 DisProt:改善无序蛋白质的功能注释。
Nucleic Acids Res. 2024 Jan 5;52(D1):D434-D441. doi: 10.1093/nar/gkad928.
7
Critical assessment of protein intrinsic disorder prediction (CAID) - Results of round 2.蛋白质固有无序预测(CAID)的批判性评估——第 2 轮结果。
Proteins. 2023 Dec;91(12):1925-1934. doi: 10.1002/prot.26582. Epub 2023 Aug 25.
8
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.CAID 预测门户:一个用于预测蛋白质中内源性无序区域和结合区域的综合服务。
Nucleic Acids Res. 2023 Jul 5;51(W1):W62-W69. doi: 10.1093/nar/gkad430.
9
Phase Transitions of Associative Biomacromolecules.缔合生物大分子的相转变。
Chem Rev. 2023 Jul 26;123(14):8945-8987. doi: 10.1021/acs.chemrev.2c00814. Epub 2023 Mar 7.
10
The Gene Ontology knowledgebase in 2023.2023 版基因本体论知识库。
Genetics. 2023 May 4;224(1). doi: 10.1093/genetics/iyad031.