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Razan O. Eskandrani

Researcher at King Saud University

Publications -  8
Citations -  142

Razan O. Eskandrani is an academic researcher from King Saud University. The author has contributed to research in topics: Virtual screening & Chemistry. The author has an hindex of 3, co-authored 5 publications receiving 26 citations.

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Novel oxindole/benzofuran hybrids as potential dual CDK2/GSK-3β inhibitors targeting breast cancer: design, synthesis, biological evaluation, and in silico studies

TL;DR: Molecular docking studies showed that the newly synthesised N1 -unsubstituted oxindole hybrids have comparable binding patterns in both CDK2 and GSK-3β, and the most potent compounds 5d–f caused cell cycle arrest in the G2/M phase in MCF-7 cells inducing cell apoptosis because of theCDK2/GSK-3 β inhibition.
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In silico identification of novel SARS-COV-2 2'-O-methyltransferase (nsp16) inhibitors: structure-based virtual screening, molecular dynamics simulation and MM-PBSA approaches.

TL;DR: In this paper, a potential novel inhibitor for SARS COV-2 2'-O-methyltransferase (nsp16) was identified, which is one of the most attractive targets in the virus life cycle, responsible for the viral RNA protection via a cap formation process.
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GC/MS Analysis of Essential Oil and Enzyme Inhibitory Activities of Syzygium cumini (Pamposia) Grown in Egypt: Chemical Characterization and Molecular Docking Studies.

TL;DR: The chemical composition of Syzygium cumini (Pomposia) essential oil via gas chromatography-mass spectrometry (GC/MS) analysis revealed the identification of fifty-three compounds representing about 91.22% of the total oil as discussed by the authors.
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Antitumor activity, multitarget mechanisms, and molecular docking studies of quinazoline derivatives based on a benzenesulfonamide scaffold: Cell cycle analysis

TL;DR: The in vitro cytotoxicity of some substituted quinazolinones, 1-15, was evaluated using NCI (10 µM) in a full NCI 59-cell line panel assay and compounds 3, 4, 7, 9, and 10 exhibited remarkable antitumor activity against the tested cell lines.
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Multi-stage structure-based virtual screening approach towards identification of potential SARS-CoV-2 NSP13 helicase inhibitors

TL;DR: A 3D pharmacophore was generated based on the collected data from a protein-ligand interaction fingerprint study using key interactions between co-crystallised fragments and the NSP13 helicase active site and identified FWM-1 as a potential potent NSP 13 helicase inhibitor with binding free energy equals −328.6 ± 9.2 kcal/mol.