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Toward rational algorithmic design of collagen-based biomaterials through multiscale computational modeling

机译:通过多尺度计算建模对基于胶原基生物材料的合理算法设计

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Inspired by the complex diversity of collagenous materials in mammalian tissue, collagen-based biomaterials are increasingly utilized for developing drug delivery vehicles and regenerative tissue engineering. Collagen’s broad utility poses important engineering challenges for the rational and predictive design of the resultant biomaterial’s physical and chemical properties. We review the most recent developments in multiscale computational modeling of collagen-based biomaterials to determine their structural, mechanical, and physicochemical properties. Through the materials-by-design paradigm, these developments may eventually lead to rational algorithmic recipes for bottom–up multiscale design of these biomaterials, thereby minimizing the experimental costs of iterative material synthesis and testing. We also highlight the future perspectives and opportunities for expanding multiscale modeling capabilities to incorporate physicochemical and biological functions of collagen-based biomaterials.
机译:灵感来自哺乳动物组织中的胶原材料的复杂多样性,基于胶原基的生物材料越来越多地用于显影药物递送载体和再生组织工程。胶原蛋白的宽泛实用能够为所得生物材料的物理和化学性质的理性和预测设计构成重要的工程挑战。我们审查了基于胶原基生物材料的多尺度计算建模的最新发展,以确定其结构,机械和物理化学性质。通过逐个设计范式,这些发展可能最终导致对这些生物材料的自下而上的多尺度设计的合理算法配方,从而最小化迭代材料合成和测试的实验成本。我们还突出了扩展多尺度建模能力的未来观点和机遇,以纳入基于胶原蛋白的生物材料的物理化学和生物学功能。

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