2018
DOI: 10.1016/j.ejmech.2018.02.007
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Potholing of the hydrophobic heme oxygenase-1 western region for the search of potent and selective imidazole-based inhibitors

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Cited by 41 publications
(47 citation statements)
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“…Our research interest is related to the development of new antitumor compounds and more specifically selective HO-1 and mixed HO-1/HO-2 inhibitors [ 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. To this extent, we constructed a ligand database with more than 400 molecules (HemeOxDB, ), similar to the one we built for sigma-2 receptor ligands [ 25 , 26 ], that incorporates the entire amount of published HO-1 and HO-2 inhibitors [ 27 , 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…Our research interest is related to the development of new antitumor compounds and more specifically selective HO-1 and mixed HO-1/HO-2 inhibitors [ 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. To this extent, we constructed a ligand database with more than 400 molecules (HemeOxDB, ), similar to the one we built for sigma-2 receptor ligands [ 25 , 26 ], that incorporates the entire amount of published HO-1 and HO-2 inhibitors [ 27 , 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…In line with our recent interest in the development of QSAR models and related applications [20][21][22][23][24][25][26][27], we recently produced the first 3D-QSAR model for the description of a dataset of selective and potent FABP4 inhibitors [28,29]. The 3D-QSAR model was then combined with a scaffold-hopping analysis, allowing the design of new potent molecules able to interact with the binding site and inhibit the FABP4; finally, three of the ligands suggested by the scaffold-hopping analysis were synthesized and tested in vitro yielding IC50 values between 3.70 and 5.59 M.…”
Section: Introductionmentioning
confidence: 55%
“…The software CORAL (CORrelation And Logic, version 2016, Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy) was used for building the 2D-QSAR model using 548 σ 2 receptor selective ligands over the σ 1 receptor, as previously reported [ 33 , 34 ]. The unique SMILES composing the blue dataset were converted in order to have a SMILES depiction that was equal to that used for generating the model (vide supra).…”
Section: Methodsmentioning
confidence: 99%
“…Since structure and ligand-based computer-aided drug design are nowadays effective and useful tools in rational drug design [ 34 , 35 , 36 , 37 , 38 , 39 ], we used them to allow the identification of new virtually potent and selective molecules that are able to interact with the σ 2 receptor. Therefore, herein, we report an investigation of new potentially σ 2 /TMEM97 receptor ligands among a database of 1517 “small” marine natural products, here named the Blue DataBase (BDB, Table S1 ), which was composed by the merging of the Seaweed Metabolite ( ) [ 40 ], the Chemical Entities of Biological Interest (ChEBI, ) [ 41 ] databases, and from the reference [ 42 ].…”
Section: Introductionmentioning
confidence: 99%