TY - JOUR
T1 - Toward rational algorithmic design of collagen-based biomaterials through multiscale computational modeling
AU - Zhang, Nan
AU - Cheng, Yuan
AU - Hu, Xiaoling
AU - Yeo, Jingjie
N1 - Funding Information:
Y.C. and J.Y. acknowledge support from Singapore's Agency for Science, Technology and Research (A1786a0031).
Funding Information:
Y.C. and J.Y. acknowledge support from Singapore’s Agency for Science, Technology and Research ( A1786a0031 ).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063955419&partnerID=8YFLogxK
U2 - 10.1016/j.coche.2019.02.011
DO - 10.1016/j.coche.2019.02.011
M3 - Review Article
AN - SCOPUS:85063955419
SN - 2211-3398
VL - 24
SP - 79
EP - 87
JO - Current Opinion in Chemical Engineering
JF - Current Opinion in Chemical Engineering
ER -