Literature DB >> 24777339

MLP Tools: a PyMOL plugin for using the molecular lipophilicity potential in computer-aided drug design.

Nils Oberhauser1, Alessandra Nurisso, Pierre-Alain Carrupt.   

Abstract

The molecular lipophilicity potential (MLP) is a well-established method to calculate and visualize lipophilicity on molecules. We are here introducing a new computational tool named MLP Tools, written in the programming language Python, and conceived as a free plugin for the popular open source molecular viewer PyMOL. The plugin is divided into several sub-programs which allow the visualization of the MLP on molecular surfaces, as well as in three-dimensional space in order to analyze lipophilic properties of binding pockets. The sub-program Log MLP also implements the virtual log P which allows the prediction of the octanol/water partition coefficients on multiple three-dimensional conformations of the same molecule. An implementation on the recently introduced MLP GOLD procedure, improving the GOLD docking performance in hydrophobic pockets, is also part of the plugin. In this article, all functions of the MLP Tools will be described through a few chosen examples.

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Year:  2014        PMID: 24777339     DOI: 10.1007/s10822-014-9744-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  15 in total

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Review 4.  Calculation of molecular lipophilicity: State-of-the-art and comparison of log P methods on more than 96,000 compounds.

Authors:  Raimund Mannhold; Gennadiy I Poda; Claude Ostermann; Igor V Tetko
Journal:  J Pharm Sci       Date:  2009-03       Impact factor: 3.534

5.  Molecular lipophilicity potential by CLIP, a reliable tool for the description of the 3D distribution of lipophilicity: application to 3-phenyloxazolidin-2-one, a prototype series of reversible MAOA inhibitors.

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Journal:  Bioorg Med Chem Lett       Date:  1998-06-02       Impact factor: 2.823

Review 6.  Lipophilicity in molecular modeling.

Authors:  B Testa; P A Carrupt; P Gaillard; F Billois; P Weber
Journal:  Pharm Res       Date:  1996-03       Impact factor: 4.200

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Journal:  J Mol Graph       Date:  1996-12

9.  Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.

Authors:  G Jones; P Willett; R C Glen
Journal:  J Mol Biol       Date:  1995-01-06       Impact factor: 5.469

10.  Esters of L-dopa: structure-hydrolysis relationships and ability to induce circling behaviour in an experimental model of hemiparkinsonism.

Authors:  M Brunner-Guenat; P A Carrupt; G Lisa; B Testa; S Rose; K Thomas; P Jenner; P Ventura
Journal:  J Pharm Pharmacol       Date:  1995-10       Impact factor: 3.765

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