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Computer-simulation-based selection of optimal monomer for imprinting of tri-O-acetyl adenosine in a polymer matrix: calculations for benzene solution.

作者信息

Douhaya Ya V, Barkaline V V, Tsakalof A

机构信息

Belarusian National Technical University, Nezavisimosti ave., 65, Minsk, 220013, Belarus.

School of Medicine, University of Thessaly, Biopolis, 41110, Larisa, Greece.

出版信息

J Mol Model. 2016 Jul;22(7):154. doi: 10.1007/s00894-016-3030-0. Epub 2016 Jun 14.

DOI:10.1007/s00894-016-3030-0
PMID:27296451
Abstract

Molecular imprinting is a promising way to create polymer materials that can be used as artificial receptors, and have anticipated use in synthetic imitation of natural antibodies. In case of successful imprinting, the selectivity and affinity of the imprint for the substrate molecules are comparable with those of natural counterparts. Various calculation methods can be used to estimate the effects of a large range of imprinting parameters under different conditions, and to find better ways to improve polymer characteristics. However, one difficulty is that properties such as hydrogen bonding can be modeled only by quantum methods that demand a lot of computational resources. Combined quantum mechanics/molecular mechanics (QM/MM) methods allow the use of MM and QM for different parts of the modeled system. In present study this method was realized in the NWChem package to compare estimations of the stability of tri-O-acetyl adenosine-monomer pre-polymerization complexes in benzene solution with previous results under vacuum.

摘要

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本文引用的文献

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Computer simulation based selection of optimal monomer for imprinting of tri-O-acetiladenosine in polymer matrix: vacuum calculations.基于计算机模拟的聚合物基质中印迹三-O-乙酰腺苷最优单体的选择:真空计算。
J Mol Model. 2013 Jan;19(1):359-69. doi: 10.1007/s00894-012-1561-6. Epub 2012 Aug 28.
2
Influence of the chemical functionalities of a molecularly imprinted conducting polymer on its sensing properties: electrochemical measurements and semiempirical DFT calculations.分子印迹导电聚合物的化学官能团对其传感性能的影响:电化学测量和半经验 DFT 计算。
J Phys Chem B. 2012 Feb 9;116(5):1467-81. doi: 10.1021/jp2071524. Epub 2012 Jan 25.
3
Ligand configurational entropy and protein binding.
配体构象熵与蛋白质结合。
Proc Natl Acad Sci U S A. 2007 Jan 30;104(5):1534-9. doi: 10.1073/pnas.0610494104. Epub 2007 Jan 22.
4
Direct estimation of entropy loss due to reduced translational and rotational motions upon molecular binding.分子结合时平移和旋转运动减少导致的熵损失的直接估计。
Biopolymers. 2005 Dec 5;79(5):277-85. doi: 10.1002/bip.20344.