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基于分子动力学模拟与量子力学计算相结合的非共价印迹聚合物的合理设计

Rational Design of Non-Covalent Imprinted Polymers Based on the Combination of Molecular Dynamics Simulation and Quantum Mechanics Calculations.

作者信息

Yu Xue, Mo Jiangyang, Yan Mengxia, Xin Jianhui, Cao Xuejun, Wu Jiawen, Wan Junfen

机构信息

Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.

State Key Laboratory of Bioreactor Engineering, Department of Bioengineering, East China University of Science and Technology, 130 Meilong Rd., Shanghai 200237, China.

出版信息

Polymers (Basel). 2024 Aug 9;16(16):2257. doi: 10.3390/polym16162257.

DOI:10.3390/polym16162257
PMID:39204477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11360439/
Abstract

Molecular imprinting is a promising approach for developing polymeric materials as artificial receptors. However, only a few types of molecularly imprinted polymers (MIPs) are commercially available, and most research on MIP is still in the experimental phase. The significant limitation has been a challenge for screening imprinting systems, particularly for weak functional target molecules. Herein, a combined method of quantum mechanics (QM) computations and molecular dynamics (MD) simulations was employed to screen an appropriate 2,4-dichlorophenoxyacetic acid (2,4-D) imprinting system. QM calculations were performed using the Gaussian 09 software. MD simulations were conducted using the Gromacs2018.8 software suite. The QM computation results were consistent with those of the MD simulations. In the MD simulations, a realistic model of the 'actual' pre-polymerisation mixture was obtained by introducing numerous components in the simulations to thoroughly investigate all non-covalent interactions during imprinting. This study systematically examined MIP systems using computer simulations and established a theoretical prediction model for the affinity and selectivity of MIPs. The combined method of QM computations and MD simulations provides a robust foundation for the rational design of MIPs.

摘要

分子印迹是开发作为人工受体的聚合物材料的一种有前景的方法。然而,只有少数几种分子印迹聚合物(MIP)可商购,并且大多数关于MIP的研究仍处于实验阶段。这一重大限制一直是筛选印迹系统的一个挑战,特别是对于弱功能性目标分子。在此,采用量子力学(QM)计算和分子动力学(MD)模拟相结合的方法来筛选合适的2,4-二氯苯氧乙酸(2,4-D)印迹系统。使用高斯09软件进行QM计算。使用Gromacs2018.8软件套件进行MD模拟。QM计算结果与MD模拟结果一致。在MD模拟中,通过在模拟中引入众多组分获得了“实际”预聚合混合物的真实模型,以全面研究印迹过程中的所有非共价相互作用。本研究使用计算机模拟系统地研究了MIP系统,并建立了MIP亲和力和选择性的理论预测模型。QM计算和MD模拟相结合的方法为MIP的合理设计提供了坚实的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/2fbff94de41e/polymers-16-02257-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/0c75c8551e65/polymers-16-02257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/2a8031ab03a2/polymers-16-02257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/a65b11601855/polymers-16-02257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/baa474312329/polymers-16-02257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/eb7f77c09bd2/polymers-16-02257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/1f37b2f28e8c/polymers-16-02257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/d4da6d0fc6c8/polymers-16-02257-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/9be30be0b431/polymers-16-02257-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/ea88f66cc239/polymers-16-02257-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/901b487c87dd/polymers-16-02257-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/2fbff94de41e/polymers-16-02257-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/0c75c8551e65/polymers-16-02257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/2a8031ab03a2/polymers-16-02257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/a65b11601855/polymers-16-02257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/baa474312329/polymers-16-02257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/eb7f77c09bd2/polymers-16-02257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/1f37b2f28e8c/polymers-16-02257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/d4da6d0fc6c8/polymers-16-02257-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/9be30be0b431/polymers-16-02257-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/ea88f66cc239/polymers-16-02257-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/901b487c87dd/polymers-16-02257-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e830/11360439/2fbff94de41e/polymers-16-02257-g011.jpg

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