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丝和基于丝的生物材料的多尺度建模——综述

Multiscale Modeling of Silk and Silk-Based Biomaterials-A Review.

机构信息

Laboratory for Atomistic and Molecular Mechanics (LAMM), Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 1-290, Cambridge, MA, 02139, USA.

Institute of High Performance Computing, A*STAR, 1 Fusionopolis Way, Singapore, 138632, Singapore.

出版信息

Macromol Biosci. 2019 Mar;19(3):e1800253. doi: 10.1002/mabi.201800253. Epub 2018 Oct 30.

Abstract

Silk embodies outstanding material properties and biologically relevant functions achieved through a delicate hierarchical structure. It can be used to create high-performance, multifunctional, and biocompatible materials through mild processes and careful rational material designs. To achieve this goal, computational modeling has proven to be a powerful platform to unravel the causes of the excellent mechanical properties of silk, to predict the properties of the biomaterials derived thereof, and to assist in devising new manufacturing strategies. Fine-scale modeling has been done mainly through all-atom and coarse-grained molecular dynamics simulations, which offer a bottom-up description of silk. In this work, a selection of relevant contributions of computational modeling is reviewed to understand the properties of natural silk, and to the design of silk-based materials, especially combined with experimental methods. Future research directions are also pointed out, including approaches such as 3D printing and machine learning, that may enable a high throughput design and manufacturing of silk-based biomaterials.

摘要

丝绸通过精细的层次结构实现了卓越的材料性能和与生物学相关的功能。通过温和的工艺和精心的合理材料设计,它可以用于制造高性能、多功能和生物相容性材料。为了实现这一目标,计算建模已被证明是一个强大的平台,可以揭示丝优良机械性能的原因,预测由此衍生的生物材料的性能,并协助设计新的制造策略。精细尺度的建模主要通过全原子和粗粒度分子动力学模拟来完成,这些模拟提供了对丝绸的自下而上的描述。在这项工作中,回顾了计算建模的相关贡献,以了解天然丝绸的性质,并设计基于丝绸的材料,特别是与实验方法相结合。还指出了未来的研究方向,包括 3D 打印和机器学习等方法,这些方法可能使基于丝绸的生物材料的高通量设计和制造成为可能。

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