ArticleMolecular diversity2015
Benzo[e]pyrimido[5,4-b][1,4]diazepin-6(11H)-one derivatives as Aurora A kinase inhibitors: LQTA-QSAR analysis and detailed systematic validation of the developed model.
Article in Molecular diversity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Coumarin linked thiazole derivatives as potential α-glucosidase inhibitors to treat diabetes mellitus.Molecular diversity · 2024Article
- One-pot synthesis and pharmacological evaluation of new quinoline/pyrimido-diazepines as pulmonary antifibrotic agents.Future medicinal chemistry · 2024Article
- Design, synthesis, and computational studies of phenylacetamides as antidepressant agents.Molecular diversity · 2022Article
- Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?International journal of molecular sciences · 2021Review
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6 authors.
Funding
Abstract
Aurora kinases are sub-divided into Aurora A, Aurora B, and Aurora C kinases that are considered as prospective targets for a new class of anticancer drugs. In this work, a 4-D-QSAR model using an LQTA-QSAR approach with previously reported 31 derivatives of benzo[e]pyrimido[5,4 -b][1,4]diazepin -6(11H)-one as potent Aurora kinase A inhibitors has been created. Instead of single conformation, the conformational ensemble profile generated for each ligand by using trajectories and topology information retrieved from molecular dynamics simulations from GROMACS package were aligned and used for the calculation of intermolecular interaction energies at each grid point. The descriptors generated on the basis of these Coulomb and Lennard-Jones potentials as independent variables were used to perform a PLS analysis using biological activity as dependent variable. A good predictive model was generated with nine field descriptors and five latent variables. The model showed [Formula: see text]; [Formula: see text] and [Formula: see text]. This model was further validated systematically by using different validation parameters. This 4D-QSAR model gave valuable information to recognize features essential to adapt and develop novel potential Aurora kinase inhibitors.
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Registered trials
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