2021
DOI: 10.1039/d1md00192b
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New perspectives in cancer drug development: computational advances with an eye to design

Abstract: Computational chemistry has come of age in drug discovery. Indeed, most pharmaceutical development programs rely on computer-based data and results at some point. Herein, we discuss recent applications of advanced...

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Cited by 9 publications
(5 citation statements)
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“…Belonging to the family of hexacyclic quinazolinone alkaloids, bioactive chaetominines have received much attention among chemists and biochemists. 11 On the basis of 3D-QSAR, molecular docking, pharmacophore model and molecular dynamics simulations, 12 we designed chaetominine mimics in continuous pursuit of ASK1 and PI3K inhibitors. 13 Based on the structure virtual screening, the l -phenylalanine derivative 19 was chosen as a promising intermediate through rational dockings, in addition to the comparison with the PI3K pan-inhibitor copanlisib.…”
Section: Resultsmentioning
confidence: 99%
“…Belonging to the family of hexacyclic quinazolinone alkaloids, bioactive chaetominines have received much attention among chemists and biochemists. 11 On the basis of 3D-QSAR, molecular docking, pharmacophore model and molecular dynamics simulations, 12 we designed chaetominine mimics in continuous pursuit of ASK1 and PI3K inhibitors. 13 Based on the structure virtual screening, the l -phenylalanine derivative 19 was chosen as a promising intermediate through rational dockings, in addition to the comparison with the PI3K pan-inhibitor copanlisib.…”
Section: Resultsmentioning
confidence: 99%
“…To the best of our knowledge, unbiased classical MD simulations aiming at describing the process by which the drug–target binding occurs are only few [ 40 , 41 , 42 , 43 ]. Most of the studies often focus on a ligand that already interacts or is near the binding site, using molecular docking or manual addition of the drug on the binding pocket to generate the pose used as a starting point.…”
Section: Resultsmentioning
confidence: 99%
“…On the contrary, with the advent of CPU, GPU resources, and improved force fields, computational methods have shown dramatic improvement in determining the binding affinity between biomolecules [ 7 , 8 ]. Methods such as molecular docking, molecular dynamics, MM-PBSA binding free energy, umbrella sampling, free energy perturbation (FEP), and thermodynamic integration (TI) have been developed and effectively used for binding affinity assessment in kinase drug design [ 9 ].…”
Section: Introductionmentioning
confidence: 99%