• 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

原子精度设计具有预定配位几何形状的金属蛋白。

Atomically Accurate Design of Metalloproteins with Predefined Coordination Geometries.

机构信息

Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.

出版信息

J Am Chem Soc. 2023 Jul 5;145(26):14208-14214. doi: 10.1021/jacs.3c04047. Epub 2023 Jun 23.

DOI:10.1021/jacs.3c04047
PMID:37352018
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10439731/
Abstract

We report a new computational protein design method for the construction of oligomeric protein assemblies around metal centers with predefined coordination geometries. We apply this method to design two homotrimeric assemblies, Tet4 and TP1, with tetrahedral and trigonal-pyramidal tris(histidine) metal coordination geometries, respectively, and demonstrate that both assemblies form the targeted metal centers with ≤0.2 Å accuracy. Although Tet4 and TP1 are constructed from the same parent protein building block, they are distinct in terms of their overall architectures, the environment surrounding the metal centers, and their metal-based reactivities, illustrating the versatility of our approach.

摘要

我们报告了一种新的计算蛋白质设计方法,用于在预定配位几何形状的金属中心周围构建寡聚蛋白质组装体。我们将此方法应用于设计两种同三聚体组装体,Tet4 和 TP1,它们分别具有四面体和三角双锥型三(组氨酸)金属配位几何形状,并证明这两种组装体都以 ≤0.2 Å 的精度形成目标金属中心。尽管 Tet4 和 TP1 是由相同的母蛋白构建块构建的,但它们在整体结构、金属中心周围的环境及其基于金属的反应性方面存在明显差异,这说明了我们方法的多功能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/88d478841fd1/nihms-1922214-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/10977b03e8cc/nihms-1922214-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/2a98dd249476/nihms-1922214-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/bcc932f9a623/nihms-1922214-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/fb2c36f705e3/nihms-1922214-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/88d478841fd1/nihms-1922214-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/10977b03e8cc/nihms-1922214-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/2a98dd249476/nihms-1922214-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/bcc932f9a623/nihms-1922214-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/fb2c36f705e3/nihms-1922214-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e511/10439731/88d478841fd1/nihms-1922214-f0006.jpg

相似文献

1
Atomically Accurate Design of Metalloproteins with Predefined Coordination Geometries.原子精度设计具有预定配位几何形状的金属蛋白。
J Am Chem Soc. 2023 Jul 5;145(26):14208-14214. doi: 10.1021/jacs.3c04047. Epub 2023 Jun 23.
2
Interfacial metal coordination in engineered protein and peptide assemblies.工程化蛋白和肽组装体中的界面金属配位。
Curr Opin Chem Biol. 2014 Apr;19:42-9. doi: 10.1016/j.cbpa.2013.12.013. Epub 2014 Jan 7.
3
Modeling of metal interaction geometries for protein-ligand docking.用于蛋白质-配体对接的金属相互作用几何结构建模。
Proteins. 2008 May 15;71(3):1237-54. doi: 10.1002/prot.21818.
4
Metal-directed protein self-assembly.金属导向的蛋白质自组装。
Acc Chem Res. 2010 May 18;43(5):661-72. doi: 10.1021/ar900273t.
5
Effect of including torsional parameters for histidine-metal interactions in classical force fields for metalloproteins.在金属蛋白经典力场中纳入组氨酸 - 金属相互作用的扭转参数的影响。
J Phys Chem B. 2014 Nov 20;118(46):13106-11. doi: 10.1021/jp5078906. Epub 2014 Nov 11.
6
Coordination geometries of selected transition metal ions (Co2+, Ni2+, Cu2+, Zn2+, Cd2+, and Hg2+) in metalloproteins.金属蛋白中选定过渡金属离子(Co2+、Ni2+、Cu2+、Zn2+、Cd2+和Hg2+)的配位几何结构。
J Inorg Biochem. 1998 Sep;71(3-4):115-27. doi: 10.1016/s0162-0134(98)10042-9.
7
Noncoded Amino Acids in de Novo Metalloprotein Design: Controlling Coordination Number and Catalysis.从头设计金属蛋白中的非编码氨基酸:控制配位数和催化。
Acc Chem Res. 2019 May 21;52(5):1160-1167. doi: 10.1021/acs.accounts.9b00032. Epub 2019 Apr 1.
8
How do bacterial cells ensure that metalloproteins get the correct metal?细菌细胞如何确保金属蛋白获得正确的金属?
Nat Rev Microbiol. 2009 Jan;7(1):25-35. doi: 10.1038/nrmicro2057.
9
Characterization of metal binding by a designed protein: single ligand substitutions at a tetrahedral Cys2His2 site.一种设计蛋白质的金属结合特性:四面体Cys2His2位点的单配体取代
Biochemistry. 1995 Aug 8;34(31):10094-100. doi: 10.1021/bi00031a034.
10
Computational design of a homotrimeric metalloprotein with a trisbipyridyl core.具有三联吡啶核心的同三聚体金属蛋白的计算设计。
Proc Natl Acad Sci U S A. 2016 Dec 27;113(52):15012-15017. doi: 10.1073/pnas.1600188113. Epub 2016 Dec 8.

引用本文的文献

1
A cytokine-based designer enzyme with an abiological multinuclear metal center exhibits intrinsic and extrinsic catalysis.一种具有非生物多核金属中心的基于细胞因子的设计酶表现出内在和外在催化作用。
Nat Commun. 2025 Jul 31;16(1):6781. doi: 10.1038/s41467-025-61909-5.
2
Computational design of bifaceted protein nanomaterials.双功能蛋白质纳米材料的计算设计
Nat Mater. 2025 Jul 31. doi: 10.1038/s41563-025-02295-7.
3
Design of Zn-Binding Peptide(s) from Protein Fragments.基于蛋白质片段的锌结合肽设计

本文引用的文献

1
Design of a Flexible, Zn-Selective Protein Scaffold that Displays Anti-Irving-Williams Behavior.设计一种具有柔韧性和锌选择性的蛋白质支架,表现出抗 Irving-Williams 行为。
J Am Chem Soc. 2022 Oct 5;144(39):18090-18100. doi: 10.1021/jacs.2c08050. Epub 2022 Sep 26.
2
Robust deep learning-based protein sequence design using ProteinMPNN.使用 ProteinMPNN 进行健壮的基于深度学习的蛋白质序列设计。
Science. 2022 Oct 7;378(6615):49-56. doi: 10.1126/science.add2187. Epub 2022 Sep 15.
3
Computationally Guided Redesign of a Heme-free Cytochrome with Native-like Structure and Stability.
Chembiochem. 2025 Apr 1;26(7):e202401014. doi: 10.1002/cbic.202401014. Epub 2025 Feb 26.
4
Fluorescent Protein-Based Sensors for Detecting Essential Metal Ions across the Tree of Life.基于荧光蛋白的传感器可用于检测生命之树中的必需金属离子。
ACS Sens. 2024 Apr 26;9(4):1622-1643. doi: 10.1021/acssensors.3c02695. Epub 2024 Apr 8.
计算指导下的具有天然样结构和稳定性的血红素-free 细胞色素的重新设计。
Biochemistry. 2022 Oct 4;61(19):2063-2072. doi: 10.1021/acs.biochem.2c00369. Epub 2022 Sep 15.
4
Scaffolding protein functional sites using deep learning.利用深度学习构建支架蛋白功能位点。
Science. 2022 Jul 22;377(6604):387-394. doi: 10.1126/science.abn2100. Epub 2022 Jul 21.
5
De novo metalloprotein design.从头开始的金属蛋白设计。
Nat Rev Chem. 2022 Jan;6(1):31-50. doi: 10.1038/s41570-021-00339-5. Epub 2021 Dec 6.
6
Redox- and metal-directed structural diversification in designed metalloprotein assemblies.设计金属蛋白组装体中的氧化还原和金属导向结构多样化。
Chem Commun (Camb). 2022 Jun 16;58(49):6958-6961. doi: 10.1039/d2cc02440c.
7
Overcoming universal restrictions on metal selectivity by protein design.通过蛋白质设计克服金属选择性的普遍限制。
Nature. 2022 Mar;603(7901):522-527. doi: 10.1038/s41586-022-04469-8. Epub 2022 Mar 2.
8
Highly accurate protein structure prediction with AlphaFold.利用 AlphaFold 进行高精度蛋白质结构预测。
Nature. 2021 Aug;596(7873):583-589. doi: 10.1038/s41586-021-03819-2. Epub 2021 Jul 15.
9
Constructing ion channels from water-soluble α-helical barrels.从水溶性 α-螺旋桶中构建离子通道。
Nat Chem. 2021 Jul;13(7):643-650. doi: 10.1038/s41557-021-00688-0. Epub 2021 May 10.
10
Abiotic reduction of ketones with silanes catalysed by carbonic anhydrase through an enzymatic zinc hydride.碳酸酐酶通过酶促锌氢化物催化硅烷对酮的非生物还原。
Nat Chem. 2021 Apr;13(4):312-318. doi: 10.1038/s41557-020-00633-7. Epub 2021 Feb 18.