2014
DOI: 10.3390/molecules19067008
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Combination of 2D/3D Ligand-Based Similarity Search in Rapid Virtual Screening from Multimillion Compound Repositories. Selection and Biological Evaluation of Potential PDE4 and PDE5 Inhibitors

Abstract: Rapid in silico selection of target focused libraries from commercial repositories is an attractive and cost effective approach. If structures of active compounds are available rapid 2D similarity search can be performed on multimillion compound databases but the generated library requires further focusing by various 2D/3D chemoinformatics tools. We report here a combination of the 2D approach with a ligand-based 3D method (Screen3D) which applies flexible matching to align reference and target compounds in a … Show more

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Cited by 22 publications
(12 citation statements)
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“…Accurate target prediction can be achieved by combining different measures of chemical similarity based on both chemical structure and molecular shape [ 32 ]. Furthermore it has been shown recently that the combination of a 2D similarity search and a 3D shape/flexibility-based similarity search led to an increased hit rate [ 33 ]. Therefore 3D-similarity of VEGFR and PARP inhibitors was then analysed by a proprietary 3D-superpostion algorithm, which produces reproducible results because of pre-calculated conformers for every compound.…”
Section: Discussionmentioning
confidence: 99%
“…Accurate target prediction can be achieved by combining different measures of chemical similarity based on both chemical structure and molecular shape [ 32 ]. Furthermore it has been shown recently that the combination of a 2D similarity search and a 3D shape/flexibility-based similarity search led to an increased hit rate [ 33 ]. Therefore 3D-similarity of VEGFR and PARP inhibitors was then analysed by a proprietary 3D-superpostion algorithm, which produces reproducible results because of pre-calculated conformers for every compound.…”
Section: Discussionmentioning
confidence: 99%
“…This filtered database has been submitted to a simplepharmacophore based VS (3D-similarity search (Dobi et al, 2014)) workflow as a first step, and obtained molecules from this step have finally used in a VS using molecular docking.…”
Section: Collection and Curation Of The Chemical Librarymentioning
confidence: 99%
“…As there are just few inhibitors known for the two new studied proteins of SARS-CoV-2, here we suggest a simple approach to obtain focused databases for 3CLpro (N3 Cocrystallized ligand) and RdRp SARS-CoV-2 targets based on single ligand pharmacophore, unlike other ligand-based VS methods, the main feature of our approach; is using similarity search in 3D (Dobi et al, 2014); is based on two fitting methods, which could enhance the accuracy, the first one based on overlapping the pharmacophores generated from the candidate structure (B from a database) and the query (reference molecule A), then rank them based on the Root Mean Squared Deviation (RMSD), The formula of RMSD is given by the Equation (1):…”
Section: D-similartity Virtual Screeningmentioning
confidence: 99%
See 1 more Smart Citation
“…15 2D and 3D similarity-search methods have been successfully employed in parallel or in combination to identify novel compounds for various targets. [16][17][18] This communication reports the findings of a study in which 2D and 3D similarity-based virtual screening approaches were employed to identify fusidic acid-like structurally diverse compounds from an in-house database using fusidic acid as a search query. Selected hit compounds were evaluated in vitro for antiplasmodial activity against the P. falciparum NF54 strain to reveal new active antiplasmodial compounds.…”
Section: Introductionmentioning
confidence: 99%