Fatty Alcohol Membrane Model for Quantifying and Predicting Amphiphilicity.

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

Abstract

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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