• 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

在CAPRI第28 - 35轮中使用RosettaDock对长方形蛋白质和水介导界面进行建模。

Modeling oblong proteins and water-mediated interfaces with RosettaDock in CAPRI rounds 28-35.

作者信息

Marze Nicholas A, Jeliazkov Jeliazko R, Roy Burman Shourya S, Boyken Scott E, DiMaio Frank, Gray Jeffrey J

机构信息

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland.

T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland.

出版信息

Proteins. 2017 Mar;85(3):479-486. doi: 10.1002/prot.25168. Epub 2016 Oct 24.

DOI:10.1002/prot.25168
PMID:27667482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5710743/
Abstract

The 28th-35th rounds of the Critical Assessment of PRotein Interactions (CAPRI) served as a practical benchmark for our RosettaDock protein-protein docking protocols, highlighting strengths and weaknesses of the approach. We achieved acceptable or better quality models in three out of 11 targets. For the two α-repeat protein-green fluorescent protein (αrep-GFP) complexes, we used a novel ellipsoidal partial-global docking method (Ellipsoidal Dock) to generate models with 2.2 Å/1.5 Å interface RMSD, capturing 49%/42% of the native contacts, for the 7-/5-repeat αrep complexes. For the DNase-immunity protein complex, we used a new predictor of hydrogen-bonding networks, HBNet with Bridging Waters, to place individual water models at the complex interface; models were generated with 1.8 Å interface RMSD and 12% native water contacts recovered. The targets for which RosettaDock failed to create an acceptable model were typically difficult in general, as six had no acceptable models submitted by any CAPRI predictor. The UCH-L5-RPN13 and UCH-L5-INO80G de-ubiquitinating enzyme-inhibitor complexes comprised inhibitors undergoing significant structural changes upon binding, with the partners being highly interwoven in the docked complexes. Our failure to predict the nucleosome-enzyme complex in Target 95 was largely due to tight constraints we placed on our model based on sparse biochemical data suggesting two specific cross-interface interactions, preventing the correct structure from being sampled. While RosettaDock's three successes show that it is a state-of-the-art docking method, the difficulties with highly flexible and multi-domain complexes highlight the need for better flexible docking and domain-assembly methods. Proteins 2017; 85:479-486. © 2016 Wiley Periodicals, Inc.

摘要

蛋白质相互作用关键评估(CAPRI)的第28 - 35轮作为我们RosettaDock蛋白质 - 蛋白质对接协议的实际基准,突出了该方法的优点和缺点。在11个靶标中,我们有3个获得了可接受或质量更好的模型。对于两个α - 重复蛋白 - 绿色荧光蛋白(αrep - GFP)复合物,我们使用了一种新颖的椭球部分 - 全局对接方法(椭球对接),为7 - / 5 - 重复αrep复合物生成了界面RMSD为2.2 Å / 1.5 Å的模型,捕获了49% / 42%的天然接触。对于DNA酶 - 免疫蛋白复合物,我们使用了一种新的氢键网络预测器HBNet并结合桥连水,在复合物界面处放置单个水模型;生成的模型界面RMSD为1.8 Å,恢复了12%的天然水接触。RosettaDock未能创建可接受模型的靶标通常总体上都很困难,因为有6个靶标没有任何CAPRI预测器提交的可接受模型。UCH - L5 - RPN13和UCH - L5 - INO80G去泛素化酶 - 抑制剂复合物中的抑制剂在结合时会发生显著的结构变化,其伴侣在对接复合物中高度交织。我们未能预测靶标95中的核小体 - 酶复合物,主要是因为我们基于稀疏的生化数据对模型施加了严格的限制,这些数据表明存在两种特定的跨界面相互作用,从而阻止了对正确结构的采样。虽然RosettaDock的三次成功表明它是一种先进的对接方法,但处理高度灵活和多结构域复合物时遇到的困难凸显了对更好的灵活对接和结构域组装方法的需求。《蛋白质》2017年;85:479 - 486。© 2016威利期刊公司

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4888/5710743/a9529d949b1a/nihms922507f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4888/5710743/93b5e6dea017/nihms922507f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4888/5710743/a9529d949b1a/nihms922507f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4888/5710743/93b5e6dea017/nihms922507f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4888/5710743/a9529d949b1a/nihms922507f2.jpg

相似文献

1
Modeling oblong proteins and water-mediated interfaces with RosettaDock in CAPRI rounds 28-35.在CAPRI第28 - 35轮中使用RosettaDock对长方形蛋白质和水介导界面进行建模。
Proteins. 2017 Mar;85(3):479-486. doi: 10.1002/prot.25168. Epub 2016 Oct 24.
2
FlexPepDock lessons from CAPRI peptide-protein rounds and suggested new criteria for assessment of model quality and utility.来自CAPRI肽-蛋白质轮次的FlexPepDock经验教训以及模型质量和实用性评估的新建议标准。
Proteins. 2017 Mar;85(3):445-462. doi: 10.1002/prot.25230.
3
Extending RosettaDock with water, sugar, and pH for prediction of complex structures and affinities for CAPRI rounds 20-27.用水、糖和 pH 值扩展 RosettaDock 以预测 CAPRI 第 20-27 轮的复杂结构和亲和力。
Proteins. 2013 Dec;81(12):2201-9. doi: 10.1002/prot.24425. Epub 2013 Oct 17.
4
Performance of MDockPP in CAPRI rounds 28-29 and 31-35 including the prediction of water-mediated interactions.MDockPP在CAPRI第28 - 29轮和第31 - 35轮中的表现,包括对水介导相互作用的预测。
Proteins. 2017 Mar;85(3):424-434. doi: 10.1002/prot.25203. Epub 2016 Dec 2.
5
pyDock scoring for the new modeling challenges in docking: Protein-peptide, homo-multimers, and domain-domain interactions.用于对接中新型建模挑战的pyDock评分:蛋白质-肽、同源多聚体和结构域-结构域相互作用。
Proteins. 2017 Mar;85(3):487-496. doi: 10.1002/prot.25184. Epub 2016 Oct 25.
6
Human and server docking prediction for CAPRI round 30-35 using LZerD with combined scoring functions.使用带有组合评分函数的LZerD对CAPRI第30 - 35轮进行人与服务器对接预测。
Proteins. 2017 Mar;85(3):513-527. doi: 10.1002/prot.25165. Epub 2016 Oct 14.
7
Modeling protein-protein and protein-peptide complexes: CAPRI 6th edition.蛋白质-蛋白质及蛋白质-肽复合物建模:蛋白质-蛋白质相互作用预测挑战赛第6版
Proteins. 2017 Mar;85(3):359-377. doi: 10.1002/prot.25215. Epub 2016 Dec 2.
8
Modeling and minimizing CAPRI round 30 symmetrical protein complexes from CASP-11 structural models.基于CASP-11结构模型对第30轮CAPRI对称蛋白质复合物进行建模及最小化处理。
Proteins. 2017 Mar;85(3):463-469. doi: 10.1002/prot.25182. Epub 2016 Oct 24.
9
Addressing recent docking challenges: A hybrid strategy to integrate template-based and free protein-protein docking.应对近期的对接挑战:一种整合基于模板和自由蛋白质-蛋白质对接的混合策略。
Proteins. 2017 Mar;85(3):497-512. doi: 10.1002/prot.25234. Epub 2017 Jan 24.
10
Modeling complexes of modeled proteins.模拟蛋白质复合物的建模。
Proteins. 2017 Mar;85(3):470-478. doi: 10.1002/prot.25183. Epub 2016 Oct 24.

引用本文的文献

1
Epitope mapping via in vitro deep mutational scanning methods and its applications.通过体外深度突变扫描方法进行的表位作图及其应用
J Biol Chem. 2025 Jan;301(1):108072. doi: 10.1016/j.jbc.2024.108072. Epub 2024 Dec 14.
2
Differential regulation of insulin signalling by monomeric and oligomeric amyloid beta-peptide.单体和寡聚淀粉样β肽对胰岛素信号传导的差异调节
Brain Commun. 2022 Sep 24;4(5):fcac243. doi: 10.1093/braincomms/fcac243. eCollection 2022.
3
Computational Structure Prediction for Antibody-Antigen Complexes From Hydrogen-Deuterium Exchange Mass Spectrometry: Challenges and Outlook.

本文引用的文献

1
Modeling protein-protein and protein-peptide complexes: CAPRI 6th edition.蛋白质-蛋白质及蛋白质-肽复合物建模:蛋白质-蛋白质相互作用预测挑战赛第6版
Proteins. 2017 Mar;85(3):359-377. doi: 10.1002/prot.25215. Epub 2016 Dec 2.
2
Pushing the Backbone in Protein-Protein Docking.推动蛋白质-蛋白质对接中的主干结构
Structure. 2016 Oct 4;24(10):1821-1829. doi: 10.1016/j.str.2016.06.025. Epub 2016 Aug 25.
3
Comparative Protein Structure Modeling Using MODELLER.使用MODELLER进行比较蛋白质结构建模。
基于氘氢交换质谱的抗体-抗原复合物的计算结构预测:挑战与展望。
Front Immunol. 2022 May 26;13:859964. doi: 10.3389/fimmu.2022.859964. eCollection 2022.
4
Mapping protein interactions in the active TOM-TIM23 supercomplex.绘制活性 TOM-TIM23 超复合物中的蛋白相互作用图。
Nat Commun. 2021 Sep 29;12(1):5715. doi: 10.1038/s41467-021-26016-1.
5
Multi-omics integration of methyltransferase-like protein family reveals clinical outcomes and functional signatures in human cancer.多组学整合甲基转移酶样蛋白家族揭示了人类癌症的临床结局和功能特征。
Sci Rep. 2021 Jul 20;11(1):14784. doi: 10.1038/s41598-021-94019-5.
6
Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design.利用 Rosetta 进行免疫建模:抗体和抗原设计方法。
Biochemistry. 2021 Mar 23;60(11):825-846. doi: 10.1021/acs.biochem.0c00912. Epub 2021 Mar 11.
7
Novel sampling strategies and a coarse-grained score function for docking homomers, flexible heteromers, and oligosaccharides using Rosetta in CAPRI rounds 37-45.使用 Rosetta 在 CAPRI 第 37-45 轮中对接同型寡聚体、柔性异源寡聚体和寡糖的新型采样策略和粗粒度评分函数。
Proteins. 2020 Aug;88(8):973-985. doi: 10.1002/prot.25855. Epub 2019 Dec 3.
8
Predicting Protein Complex Structure from Surface-Induced Dissociation Mass Spectrometry Data.从表面诱导解离质谱数据预测蛋白质复合物结构
ACS Cent Sci. 2019 Aug 28;5(8):1330-1341. doi: 10.1021/acscentsci.8b00912. Epub 2019 Jul 2.
9
Flexible Backbone Assembly and Refinement of Symmetrical Homomeric Complexes.柔性骨架组装与对称同型寡聚复合物的细化。
Structure. 2019 Jun 4;27(6):1041-1051.e8. doi: 10.1016/j.str.2019.03.014. Epub 2019 Apr 18.
10
Efficient flexible backbone protein-protein docking for challenging targets.高效灵活的骨干蛋白-蛋白对接,适用于具有挑战性的目标。
Bioinformatics. 2018 Oct 15;34(20):3461-3469. doi: 10.1093/bioinformatics/bty355.
Curr Protoc Bioinformatics. 2016 Jun 20;54:5.6.1-5.6.37. doi: 10.1002/cpbi.3.
4
De novo design of protein homo-oligomers with modular hydrogen-bond network-mediated specificity.通过模块化氢键网络介导的特异性对蛋白质同源寡聚体进行从头设计。
Science. 2016 May 6;352(6286):680-7. doi: 10.1126/science.aad8865.
5
Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.通过蛋白质对接和基于模板的建模预测同源蛋白和异源蛋白复合物:一项CASP-CAPRI实验。
Proteins. 2016 Sep;84 Suppl 1(Suppl Suppl 1):323-48. doi: 10.1002/prot.25007. Epub 2016 Jun 1.
6
Structure of the secretion domain of HxuA from Haemophilus influenzae.流感嗜血杆菌HxuA分泌结构域的结构
Acta Crystallogr Sect F Struct Biol Cryst Commun. 2013 Dec;69(Pt 12):1322-7. doi: 10.1107/S174430911302962X. Epub 2013 Nov 28.
7
Extending RosettaDock with water, sugar, and pH for prediction of complex structures and affinities for CAPRI rounds 20-27.用水、糖和 pH 值扩展 RosettaDock 以预测 CAPRI 第 20-27 轮的复杂结构和亲和力。
Proteins. 2013 Dec;81(12):2201-9. doi: 10.1002/prot.24425. Epub 2013 Oct 17.
8
How good is automated protein docking?自动化蛋白质对接的效果如何?
Proteins. 2013 Dec;81(12):2159-66. doi: 10.1002/prot.24403. Epub 2013 Oct 17.
9
The linear ubiquitin-specific deubiquitinase gumby regulates angiogenesis.线性泛素特异性去泛素化酶 gumby 调节血管生成。
Nature. 2013 Jun 20;498(7454):318-24. doi: 10.1038/nature12296. Epub 2013 May 24.
10
A human ubiquitin conjugating enzyme (E2)-HECT E3 ligase structure-function screen.一个人类泛素连接酶(E2)-HECT E3 连接酶的结构-功能筛选。
Mol Cell Proteomics. 2012 Aug;11(8):329-41. doi: 10.1074/mcp.O111.013706. Epub 2012 Apr 10.