2019
DOI: 10.3389/fchem.2019.00574
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Identification of Novel 3-Hydroxy-pyran-4-One Derivatives as Potent HIV-1 Integrase Inhibitors Using in silico Structure-Based Combinatorial Library Design Approach

Abstract: We describe herein the development and experimental validation of a computational protocol for optimizing a series of 3-hydroxy-pyran-4-one derivatives as HIV integrase inhibitors (HIV INIs). Starting from a previously developed micromolar inhibitors of HIV integrase (HIV IN), we performed an in-depth investigation based on an in silico structure-based combinatorial library designing approach. This method allowed us to combine a combinatorial library design and side chain hopping with Qu… Show more

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Cited by 38 publications
(36 citation statements)
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“…Notably, at the beginning of drug discovery trajectory it is particularly important to prioritize potential hit compounds that could be suitable starting points for searching novel drug candidates. Accordingly, it is a common procedure, during the drug discovery pipeline, consider some molecular descriptors for selecting potential drug candidates with satisfactory physicochemical properties and ADMET (absorption, distribution, metabolism, excretion, and toxicity) profile [29] , [37] , [38] , [39] . Accordingly, we performed an in silico analysis to determine which derivatives could be submitted to further cellular and in vivo studies.…”
Section: Resultsmentioning
confidence: 99%
“…Notably, at the beginning of drug discovery trajectory it is particularly important to prioritize potential hit compounds that could be suitable starting points for searching novel drug candidates. Accordingly, it is a common procedure, during the drug discovery pipeline, consider some molecular descriptors for selecting potential drug candidates with satisfactory physicochemical properties and ADMET (absorption, distribution, metabolism, excretion, and toxicity) profile [29] , [37] , [38] , [39] . Accordingly, we performed an in silico analysis to determine which derivatives could be submitted to further cellular and in vivo studies.…”
Section: Resultsmentioning
confidence: 99%
“…The energy grid was prepared using the default value of the protein atom scaling factor (1.0 Å) within a cubic box centered on the crystallized ligand nor-NOHA. As part of grid generation procedure, metal constraints for the receptor grids were also applied [27, 28] . After grid generation, the ligands were docked into the enzymes considering the metal constraints.…”
Section: Methodsmentioning
confidence: 99%
“…The energy grid was prepared using the default value of the protein atom scaling factor (1.0 Å), within a cubic box centered on the crystallized ligand nor-NOHA for L-ARG, while for the modelled protein the cubic box was centered on metal ions. As part of the grid generation procedure, metal constraints for the receptor grids were also applied [43,44]. After the grid generation, the ligands were docked into the enzymes, considering the metal constraints.…”
Section: Computational Detailsmentioning
confidence: 99%