Literature DB >> 23398189

Prediction of micelle/water and liposome/water partition coefficients based on molecular dynamics simulations, COSMO-RS, and COSMOmic.

Thomas Ingram1, Sandra Storm, Linda Kloss, Tanja Mehling, Sven Jakobtorweihen, Irina Smirnova.   

Abstract

Liposomes and micelles find various applications as potential solubilizers in extraction processes or in drug delivery systems. Thermodynamic and transport processes governing the interactions of different kinds of solutes in liposomes or micelles can be analyzed regarding the free energy profiles of the solutes in the system. However, free energy profiles in heterogeneous systems such as micelles are experimentally almost not accessible. Therefore, the development of predictive methods is desirable. Molecular dynamics (MD) simulations reliably simulate the structure and dynamics of lipid membranes and micelles, whereas COSMO-RS accurately reproduces solvation free energies in different solvents. For the first time, free energy profiles in micellar systems, as well as mixed lipid bilayers, are investigated, taking advantage of both methods: MD simulations and COSMO-RS, referred to as COSMOmic (Klamt, A.; Huniar, U.; Spycher, S.; Keldenich, J. COSMOmic: A Mechanistic Approach to the Calculation of Membrane-Water Partition Coefficients and Internal Distributions within Membranes and Micelles. J. Phys. Chem. B 2008, 112, 12148-12157). All-atom molecular dynamics simulations of the system SDS/water and CTAB/water have been applied in order to retrieve representative micelle structures for further analysis with COSMOmic. For the system CTAB/water, different surfactant concentrations were considered, which results in different micelle sizes. Free energy profiles of more than 200 solutes were predicted and validated by means of experimental partition coefficients. To our knowledge, these are the first quantitative predictions of micelle/water partition coefficients, which are based on whole free energy profiles from molecular methods. Further, the partitioning in lipid bilayer systems containing different hydrophobic tail groups (DOPC (1,2-dioleoyl-sn-glycero-3-phosphocholine), SOPC (stearoyl-oleoylphosphatidylcholine), DMPC (1,2-dimyristoyl-sn-glycero-3-phosphocholine), and POPC (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine)) as well as mixed bilayers was calculated. Experimental partition coefficients (log P) were reproduced with a root-mean-square error (RMSE) of 0.62. To determine the influence of cholesterol as an important component of cellular membranes, free energy profiles in the presence of cholesterol were calculated and shown to be in good agreement with experimental data.

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Year:  2013        PMID: 23398189     DOI: 10.1021/la305035b

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  6 in total

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2.  Predicting Partition Coefficients of Neutral and Charged Solutes in the Mixed SLES-Fatty Acid Micellar System.

Authors:  Mattia Turchi; Abhishek A Kognole; Anmol Kumar; Qiong Cai; Guoping Lian; Alexander D MacKerell
Journal:  J Phys Chem B       Date:  2020-02-25       Impact factor: 2.991

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Journal:  Sci Rep       Date:  2020-02-04       Impact factor: 4.379

4.  Molecular simulations of lipid membrane partitioning and translocation by bacterial quorum sensing modulators.

Authors:  Tianyi Jin; Samarthaben J Patel; Reid C Van Lehn
Journal:  PLoS One       Date:  2021-02-09       Impact factor: 3.240

5.  Design and simulation of the liposomal model by using a coarse-grained molecular dynamics approach towards drug delivery goals.

Authors:  Jalil Parchekani; Abdollah Allahverdi; Majid Taghdir; Hossein Naderi-Manesh
Journal:  Sci Rep       Date:  2022-02-11       Impact factor: 4.379

6.  Structure-based prediction of drug distribution across the headgroup and core strata of a phospholipid bilayer using surrogate phases.

Authors:  Senthil Natesan; Viera Lukacova; Ming Peng; Rajesh Subramaniam; Sandra Lynch; Zhanbin Wang; Roman Tandlich; Stefan Balaz
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  6 in total

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