Literature DB >> 22462609

Molecular docking using the molecular lipophilicity potential as hydrophobic descriptor: impact on GOLD docking performance.

Alessandra Nurisso1, Juan Bravo, Pierre-Alain Carrupt, Antoine Daina.   

Abstract

GOLD is a molecular docking software widely used in drug design. In the initial steps of docking, it creates a list of hydrophobic fitting points inside protein cavities that steer the positioning of ligand hydrophobic moieties. These points are generated based on the Lennard-Jones potential between a carbon probe and each atom of the residues delimitating the binding site. To thoroughly describe hydrophobic regions in protein pockets and properly guide ligand hydrophobic moieties toward favorable areas, an in-house tool, the MLP filter, was developed and herein applied. This strategy only retains GOLD hydrophobic fitting points that match the rigorous definition of hydrophobicity given by the molecular lipophilicity potential (MLP), a molecular interaction field that relies on an atomic fragmental system based on 1-octanol/water experimental partition coefficients (log P(oct)). MLP computations in the binding sites of crystallographic protein structures revealed that a significant number of points considered hydrophobic by GOLD were actually polar according to the MLP definition of hydrophobicity. To examine the impact of this new tool, ligand-protein complexes from the Astex Diverse Set and the PDB bind core database were redocked with and without the use of the MLP filter. Reliable docking results were obtained by using the MLP filter that increased the quality of docking in nonpolar cavities and outperformed the standard GOLD docking approach.

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Year:  2012        PMID: 22462609     DOI: 10.1021/ci200515g

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  6 in total

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

Authors:  Nils Oberhauser; Alessandra Nurisso; Pierre-Alain Carrupt
Journal:  J Comput Aided Mol Des       Date:  2014-04-29       Impact factor: 3.686

2.  IPP51, a chalcone acting as a microtubule inhibitor with in vivo antitumor activity against bladder carcinoma.

Authors:  Véronique Martel-Frachet; Michelle Keramidas; Alessandra Nurisso; Salvatore DeBonis; Claire Rome; Jean-Luc Coll; Ahcène Boumendjel; Dimitrios A Skoufias; Xavier Ronot
Journal:  Oncotarget       Date:  2015-06-10

3.  In Silico Studies of Lamiaceae Diterpenes with Bioinsecticide Potential against Aphis gossypii and Drosophila melanogaster.

Authors:  Gabriela Cristina Soares Rodrigues; Mayara Dos Santos Maia; Andreza Barbosa Silva Cavalcanti; Natália Ferreira de Sousa; Marcus Tullius Scotti; Luciana Scotti
Journal:  Molecules       Date:  2021-02-02       Impact factor: 4.411

4.  Molecular design of anticancer drugs from marine fungi derivatives.

Authors:  Duc Tuan Cao; Thi Mai Huong Doan; Van Cuong Pham; Thi Hong Minh Le; Jung-Woo Chae; Hwi-Yeol Yun; Min-Kyun Na; Young-Ho Kim; Minh Quan Pham; Van Hung Nguyen
Journal:  RSC Adv       Date:  2021-06-04       Impact factor: 4.036

5.  A novel interaction fingerprint derived from per atom score contributions: exhaustive evaluation of interaction fingerprint performance in docking based virtual screening.

Authors:  Julia B Jasper; Lina Humbeck; Tobias Brinkjost; Oliver Koch
Journal:  J Cheminform       Date:  2018-03-16       Impact factor: 5.514

6.  Modelling the DFT structural and reactivity study of feverfew and evaluation of its potential antiviral activity against COVID-19 using molecular docking and MD simulations.

Authors:  Shradha Lakhera; Kamal Devlal; Arabinda Ghosh; Papia Chowdhury; Meenakshi Rana
Journal:  Chem Zvesti       Date:  2022-01-15       Impact factor: 2.146

  6 in total

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