Literature DB >> 30799643

Lipophilicity in drug design: an overview of lipophilicity descriptors in 3D-QSAR studies.

Tiziana Ginex1, Javier Vazquez1,2, Enric Gilbert2, Enric Herrero2, Francisco J Luque1.   

Abstract

The pharmacophore concept is a fundamental cornerstone in drug discovery, playing a critical role in determining the success of in silico techniques, such as virtual screening and 3D-QSAR studies. The reliability of these approaches is influenced by the quality of the physicochemical descriptors used to characterize the chemical entities. In this context, a pivotal role is exerted by lipophilicity, which is a major contribution to host-guest interaction and ligand binding affinity. Several approaches have been undertaken to account for the descriptive and predictive capabilities of lipophilicity in 3D-QSAR modeling. Recent efforts encode the use of quantum mechanical-based descriptors derived from continuum solvation models, which open novel avenues for gaining insight into structure-activity relationships studies.

Keywords:  3D-QSAR; continuum solvation models; hydrophobic pharmacophore; lipophilicity; quantum mechanical-derived descriptors

Mesh:

Substances:

Year:  2019        PMID: 30799643     DOI: 10.4155/fmc-2018-0435

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  4 in total

1.  Prediction of the n-octanol/water partition coefficients in the SAMPL6 blind challenge from MST continuum solvation calculations.

Authors:  William J Zamora; Silvana Pinheiro; Kilian German; Clara Ràfols; Carles Curutchet; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2019-11-27       Impact factor: 3.686

2.  A Comparative Study of the Lipophilicity of Metformin and Phenformin.

Authors:  Małgorzata Dołowy; Josef Jampilek; Katarzyna Bober-Majnusz
Journal:  Molecules       Date:  2021-10-31       Impact factor: 4.411

3.  Investigation of [3H]diazepam derivatives as allosteric modulators of GABAA receptor α1β2γ2 subtypes: combination of molecular docking/dynamic simulations, pharmacokinetics/drug-likeness prediction, and QSAR analysis.

Authors:  Rachida Djebaili; Samir Kenouche; Ismail Daoud; Nadjib Melkemi; Ahlem Belkadi; Fouzia Mesli
Journal:  Struct Chem       Date:  2022-08-11       Impact factor: 1.795

4.  Prediction of n-octanol/water partition coefficients and acidity constants (pKa) in the SAMPL7 blind challenge with the IEFPCM-MST model.

Authors:  Antonio Viayna; Silvana Pinheiro; Carles Curutchet; F Javier Luque; William J Zamora
Journal:  J Comput Aided Mol Des       Date:  2021-07-10       Impact factor: 3.686

  4 in total

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