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Postdoctoral Researcher at Research Department
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Utilized computational methods to identify potential anti-cancer drug candidates, contributing to the acceleration of cancer drug discovery.
Employed docking and virtual screening techniques to discover approved antiviral drugs that could inhibit SARS-CoV-2, offering potential therapeutic options during the pandemic.
Created QSAR models using quantum chemical descriptors and statistical methods to identify potent inhibitors of avian SARS-CoV main protease, contributing to the understanding of viral inhibition.
Discovered a novel scaffold targeting both 3CLpro and RdRp proteins of SARS-CoV-2 using 3D-similarity search, molecular docking, molecular dynamics, and ADMET evaluation, providing a potential multi-target therapeutic strategy.
Utilized 3D QSAR, molecular docking, and ADMET screening to explore aryl halides analogues as Checkpoint Kinase 1 inhibitors, contributing to the development of new cancer therapies.
Examined the structure-activity relationship of Laulimalides marine macrolides as potential inhibitors for SARS-CoV-2 main protease (Mpro), offering insights for antiviral drug design.
Adnane Aouidate is a Postdoctoral Researcher specializing in computational drug discovery, QSAR modeling, and molecular docking to identify potential inhibitors for various diseases, including cancer and viral infections. His research focuses on integrating in silico techniques with experimental validation to accelerate the drug development process.
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