基于分子动力学模拟和三维参考相互作用位点模型的水/乙醇混合比对吉西他滨与葫芦-7-脲结合的影响

IF 6.4 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-04-10 DOI:10.1021/acs.jcim.5c00225
Natthiti Chiangraeng,Norio Yoshida,Haruyuki Nakano,Apinpus Rujiwatra,Piyarat Nimmanpipug
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引用次数: 0

摘要

结合分子动力学模拟和三维参考相互作用位点模型(3D-RISM)计算,获得了葫芦-7-乌尔-吉西他滨(CB7-GEM)配合物在纯水和乙醇/水混合溶剂中的精确结合亲和力。使用3D-RISM自相容场(3D-RISM- scf)计算,根据溶剂混合比确定CB7和GEM分子的点电荷。计算出的结合亲和力表明,在纯水体系中CB7-GEM配合物最适宜形成。混合溶剂中的配合物在较高的乙醇比下表现出较低的稳定性。在不同溶剂浓度下的稳定构象似乎是获得结合亲和力增强趋势的关键因素。高水馏分中的构象具有较高的络合稳定性,其内能比高甲醇馏分中的构象低。氢键形成的破坏在溶剂化自由能中也起着至关重要的作用。明确的溶剂模型对于精确计算这些二元混合物中的CB7-GEM配合物至关重要,提供与实验相当的结果。
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Influence of Water/Ethanol Mixing Ratio on Gemcitabine Binding to Cucurbit-7-uril Based on Molecular Dynamics Simulations and Three-Dimensional Reference Interaction Site Model.
Accurate binding affinities of the cucurbit-7-uril-gemcitabine (CB7-GEM) complex in pure water and ethanol/water-mixed solvents were obtained by combining molecular dynamics simulations and three-dimensional reference interaction site model (3D-RISM) calculations. Point charges of CB7 and GEM molecules, depending on solvent mixture ratios, were determined using 3D-RISM self-consistent field (3D-RISM-SCF) calculations. The calculated binding affinities reveal that the most preferable CB7-GEM complex forms in the pure water system. The complexes in the mixed solvents show lower stability at higher ethanol ratios. Stable conformations at different solvent concentrations appear to be a key factor in the obtained trend of binding affinity enhancement. Conformations in the high-water fractions, associated with higher complex stability, exhibit lower internal energies than those in high-methanol fractions. Disruption of hydrogen-bonding formation also plays a crucial role in the solvation free energies. An explicit solvent model is crucial for accurate calculations of CB7-GEM complexes in these binary mixtures, providing results comparable to the experiments.
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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