Improving the Adhesion Forces of Mussel-Inspired Peptides through Inverse Design

被引:0
|
作者
Gallegos, Alejandro [1 ]
Wu, Jianzhong [2 ]
机构
[1] New Mexico State Univ, Dept Chem & Mat Engn, Las Cruces, NM 88001 USA
[2] Univ Calif Riverside, Dept Chem & Environm Engn, Riverside, CA 92521 USA
基金
美国国家科学基金会;
关键词
GENETIC ALGORITHM; CATECHOL; DOPA; SURFACES; COHESION;
D O I
10.1021/acs.iecr.4c03569
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Nature offers a rich repertoire of adhesive materials derived from plants, animals, and microorganisms, promising transformative applications in underwater construction and biomedicine. Despite their potential, translating these natural materials into practical applications remains challenging due to a limited understanding of their underlying adhesion mechanisms. To bridge this knowledge gap and accelerate the development of bioinspired adhesives, this work presents a molecular-thermodynamic model for predicting the adhesion forces of mussel-inspired peptides under various solution conditions. The coarse-grained model accounts for the sequence and characteristics of amino-acid residues based on their electrical charge, excluded molecular volume, and nonelectrostatic interactions including the surface binding capability. Its numerical performance was validated with experimental data from surface force measurements for three mussel-inspired peptides. We find that the optimal adhesion to the surface reflects a delicate balance between electrostatic attraction and hydrogen bonding. By incorporating a genetic algorithm to explore the peptide sequence space, we demonstrate that the adhesion strength of mussel-derived peptides can be improved by nearly one-third.
引用
收藏
页码:2123 / 2132
页数:10
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