• 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

几何限制在临界长度尺度上决定了氢键组装体的断裂强度。

Geometric confinement governs the rupture strength of H-bond assemblies at a critical length scale.

作者信息

Keten Sinan, Buehler Markus J

机构信息

Laboratory for Atomistic and Molecular Mechanics, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue Room 1-272, Cambridge, Massachusetts, USA.

出版信息

Nano Lett. 2008 Feb;8(2):743-8. doi: 10.1021/nl0731670. Epub 2008 Feb 13.

DOI:10.1021/nl0731670
PMID:18269263
Abstract

The ultrastructure of protein materials such as spider silk, muscle tissue, or amyloid fibers consists primarily of beta-sheets structures, composed of hierarchical assemblies of H-bonds. Despite the weakness of H-bond interactions, which have intermolecular bonds 100 to 1000 times weaker than those in ceramics or metals, these materials combine exceptional strength, robustness, and resilience. We discover that the rupture strength of H-bond assemblies is governed by geometric confinement effects, suggesting that clusters of at most 3-4 H-bonds break concurrently, even under uniform shear loading of a much larger number of H-bonds. This universally valid result leads to an intrinsic strength limitation that suggests that shorter strands with less H-bonds achieve the highest shear strength at a critical length scale. The hypothesis is confirmed by direct large-scale full-atomistic MD simulation studies of beta-sheet structures in explicit solvent. Our finding explains how the intrinsic strength limitation of H-bonds can be overcome by the formation of a nanocomposite structure of H-bond clusters, thereby enabling the formation of larger and much stronger beta-sheet structures. Our results explain recent experimental proteomics data, suggesting a correlation between the shear strength and the prevalence of beta-strand lengths in biology.

摘要

诸如蜘蛛丝、肌肉组织或淀粉样纤维等蛋白质材料的超微结构主要由β-折叠结构组成,这些结构由氢键的分级组装构成。尽管氢键相互作用较弱,其分子间键比陶瓷或金属中的键弱100到1000倍,但这些材料却兼具非凡的强度、坚固性和韧性。我们发现,氢键组装体的断裂强度受几何限制效应的支配,这表明即使在大量氢键受到均匀剪切载荷的情况下,最多3 - 4个氢键的簇也会同时断裂。这一普遍有效的结果导致了一个内在强度限制,即表明在临界长度尺度下,具有较少氢键的较短链段能达到最高剪切强度。通过在显式溶剂中对β-折叠结构进行直接的大规模全原子分子动力学模拟研究,这一假设得到了证实。我们的发现解释了如何通过形成氢键簇的纳米复合结构来克服氢键的内在强度限制,从而能够形成更大且更强的β-折叠结构。我们的结果解释了最近的实验蛋白质组学数据,表明在生物学中剪切强度与β-链长度的普遍性之间存在关联。

相似文献

1
Geometric confinement governs the rupture strength of H-bond assemblies at a critical length scale.几何限制在临界长度尺度上决定了氢键组装体的断裂强度。
Nano Lett. 2008 Feb;8(2):743-8. doi: 10.1021/nl0731670. Epub 2008 Feb 13.
2
Cooperative deformation of hydrogen bonds in beta-strands and beta-sheet nanocrystals.β-链和β-折叠纳米晶体中氢键的协同变形
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Dec;82(6 Pt 1):061906. doi: 10.1103/PhysRevE.82.061906. Epub 2010 Dec 14.
3
Nanomechanical strength mechanisms of hierarchical biological materials and tissues.分级生物材料和组织的纳米力学强度机制。
Comput Methods Biomech Biomed Engin. 2008 Dec;11(6):595-607. doi: 10.1080/10255840802078030.
4
Self-folding and aggregation of amyloid nanofibrils.淀粉样原纤维的自折叠和聚集。
Nanoscale. 2011 Apr;3(4):1748-55. doi: 10.1039/c0nr00840k. Epub 2011 Feb 23.
5
Strength limit of entropic elasticity in beta-sheet protein domains.β-折叠蛋白质结构域中熵弹性的强度极限
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Dec;78(6 Pt 1):061913. doi: 10.1103/PhysRevE.78.061913. Epub 2008 Dec 16.
6
Molecular mechanics of silk nanostructures under varied mechanical loading.在不同机械载荷下丝纳米结构的分子力学。
Biopolymers. 2012 Jun;97(6):408-17. doi: 10.1002/bip.21729. Epub 2011 Oct 24.
7
Toughness governs the rupture of the interfacial H-bond assemblies at a critical length scale in hybrid materials.韧性控制着杂化材料中界面氢键组装体在临界长度尺度下的断裂。
Langmuir. 2013 Jun 25;29(25):8154-63. doi: 10.1021/la4014015. Epub 2013 Jun 11.
8
Molecular and nanostructural mechanisms of deformation, strength and toughness of spider silk fibrils.蜘蛛丝纤维变形、强度和韧性的分子及纳米结构机制。
Nano Lett. 2010 Jul 14;10(7):2626-34. doi: 10.1021/nl101341w.
9
Sequence-structure correlations in silk: Poly-Ala repeat of N. clavipes MaSp1 is naturally optimized at a critical length scale.丝中的序列-结构相关性:N. clavipes MaSp1 的聚丙氨酸重复序列在临界长度尺度上自然得到优化。
J Mech Behav Biomed Mater. 2012 Mar;7:30-40. doi: 10.1016/j.jmbbm.2011.07.012. Epub 2011 Jul 26.
10
At least 10% shorter C-H bonds in cryogenic protein crystal structures than in current AMBER forcefields.在低温蛋白质晶体结构中,C-H键比当前的AMBER力场中的至少短10%。
Biochem Biophys Res Commun. 2015 Mar 6;458(2):352-5. doi: 10.1016/j.bbrc.2015.01.115. Epub 2015 Feb 4.

引用本文的文献

1
Formation of an Amyloid-like Structure During In Vitro Interaction of Titin and Myosin-Binding Protein C.肌联蛋白与肌球蛋白结合蛋白C体外相互作用过程中类淀粉样结构的形成
Int J Mol Sci. 2025 Jul 18;26(14):6910. doi: 10.3390/ijms26146910.
2
Optimizations of Placenta Extracellular Matrix-Loaded Silk Fibroin/Alginate 3D-Printed Scaffolds Structurally and Functionally for Bone Tissue Engineering.用于骨组织工程的负载胎盘细胞外基质的丝素蛋白/海藻酸盐3D打印支架的结构与功能优化
Eng Life Sci. 2025 Jan 9;25(1):e202400085. doi: 10.1002/elsc.202400085. eCollection 2025 Jan.
3
Progress in Multiscale Modeling of Silk Materials.
丝绸材料多尺度建模的研究进展。
Biomacromolecules. 2024 Nov 11;25(11):6987-7014. doi: 10.1021/acs.biomac.4c01122. Epub 2024 Oct 22.
4
Untapped Potential of Deep Eutectic Solvents for the Synthesis of Bioinspired Inorganic-Organic Materials.用于合成仿生无机-有机材料的深共熔溶剂的未开发潜力
Chem Mater. 2023 Aug 18;35(19):7878-7903. doi: 10.1021/acs.chemmater.3c00847. eCollection 2023 Oct 10.
5
Generative design of proteins based on secondary structure constraints using an attention-based diffusion model.基于二级结构约束,使用基于注意力的扩散模型进行蛋白质的生成式设计。
Chem. 2023 Jul 13;9(7):1828-1849. doi: 10.1016/j.chempr.2023.03.020. Epub 2023 Apr 20.
6
3D-Printing of Silk Nanofibrils Reinforced Alginate for Soft Tissue Engineering.用于软组织工程的丝纳米原纤维增强藻酸盐的3D打印
Pharmaceutics. 2023 Feb 24;15(3):763. doi: 10.3390/pharmaceutics15030763.
7
Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs.通过深度学习和对抗性注意力神经网络进行无监督跨域翻译及其在音乐启发的蛋白质设计中的应用。
Patterns (N Y). 2023 Feb 14;4(3):100692. doi: 10.1016/j.patter.2023.100692. eCollection 2023 Mar 10.
8
Hydrogen Bonds under Stress: Strain-Induced Structural Changes in Polyurethane Revealed by Rheological Two-Dimensional Infrared Spectroscopy.受压氢键:流变二维红外光谱揭示的聚氨酯中的应变诱导结构变化。
J Phys Chem Lett. 2023 Feb 2;14(4):940-946. doi: 10.1021/acs.jpclett.2c03109. Epub 2023 Jan 23.
9
A stretchable and healable elastomer with shape memory capability based on multiple hydrogen bonds.一种基于多重氢键的具有形状记忆能力的可拉伸且可自愈的弹性体。
RSC Adv. 2022 Aug 3;12(33):21512-21519. doi: 10.1039/d2ra03250c. eCollection 2022 Jul 21.
10
End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins.端到端深度学习模型预测和设计结构蛋白的二级结构内容。
ACS Biomater Sci Eng. 2022 Mar 14;8(3):1156-1165. doi: 10.1021/acsbiomaterials.1c01343. Epub 2022 Feb 7.