分子印迹聚合物
计算机科学
计算模型
计算复杂性理论
生化工程
分子动力学
纳米技术
人工智能
算法
材料科学
化学
计算化学
选择性
工程类
生物化学
催化作用
作者
Enayat Mohsenzadeh,Vilma Ratautaitė,Ernestas Brazys,Simonas Ramanavičius,Šarūnas Žukauskas,Deivis Plaušinaitis,Arūnas Ramanavičius
标识
DOI:10.1016/j.trac.2023.117480
摘要
This review aims to overview applications of computational methods, such as molecular mechanics, molecular dynamics, Monte Carlo simulations, quantum mechanics, and statistical simulations in designing molecularly imprinted polymers (MIPs). The potential of aforementioned computational methods to avoid costly trial-and-error experiments and better understand the processes at each step is demonstrated. The preparation of MIPs step-by-step and demonstrate numerous examples in which the computational methods were applied to solve emerging challenges are overviewed. The selection of chemicals, including monomers, solvents, and cross-linkers, by different computational means is discussed. In silico modelling of the polymerisation step effectively simulates the fabrication of the MIPs is presented. Combining these findings makes it feasible to create polymeric structures with imprinted binding sites. Researchstudies that employed computational methods for evaluating MIP selectivity and recognition ability and the results are overviewed. The examined studies proved the significance and the functionality of computational methods for MIP design.
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