定量和预测两亲性的脂肪醇膜模型。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Nur Afiqah Ahmad, Junming Ho
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引用次数: 0

摘要

两亲性是药物开发和自组装的一个重要特性。本文介绍了一种基于简单脂肪醇(十二醇)膜模型的通用方法,该方法可用于量化小分子的两亲性,与实验表面张力数据十分吻合。通过将该模型应用于一系列系统化合物,可以阐明不同基团对两亲性的影响。结果进一步表明,在 0 < logP 4 的范围内,所研究的 29 种有机分子的亲水性与水-辛醇分配系数(logP)密切相关。重要的是,模型膜的模拟速度比磷脂膜(如 1-棕榈酰-2-油酰-sn-甘油-3-磷酸胆碱)模拟快一个数量级,并提供了一种简单的原子论方法来量化和预测可用于定量结构-活性关系研究的类药物小分子的亲水性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fatty Alcohol Membrane Model for Quantifying and Predicting Amphiphilicity.

Amphiphilicity is an important property for drug development and self-assembly. This paper introduces a general approach based on a simple fatty alcohol (dodecanol) membrane model that can be used to quantify the amphiphilicity of small molecules that are in good agreement with experimental surface tension data. By applying the model to a systematic series of compounds, it was possible to elucidate the effect of different motifs on amphiphilicity. The results further indicate that amphiphilicity correlates strongly with water-octanol partition coefficients (logP) for the 29 organic molecules examined in the 0 < logP < 4 range. Importantly, the simulation of the model membrane is an order of magnitude faster than a phospholipid membrane (e.g., 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine) simulation and offers a simple atomistic approach for quantifying and predicting amphiphilicity of small drug-like molecules that could be used in quantitative structure-activity relationship studies.

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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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