| Literature DB >> 30799643 |
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
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Year: 2019 PMID: 30799643 DOI: 10.4155/fmc-2018-0435
Source DB: PubMed Journal: Future Med Chem ISSN: 1756-8919 Impact factor: 3.808