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Researcher at Research Department
Ask questions about Abdellah Ousaa's research, publications, and ongoing work
Developed a novel dual-target scaffold for SARS-CoV-2 using 3D-similarity search, molecular docking, molecular dynamics, and ADMET evaluation, contributing to potential antiviral drug development.
Conducted a QSAR study to identify potential anti-Human African Trypanosomiasis drug candidates using DFT and Lipinski's descriptors.
Developed a structure-activity relationship model for furanone derivatives as CDC7 kinase inhibitors using 3D QSAR, molecular docking, and in silico ADMET.
Performed QSAR analysis to assess the toxicity of phenols and thiophenols using MLR and ANN methods, contributing to understanding environmental toxicology.
Utilized 3D QSAR and molecular docking to identify and design new thiazolidine derivatives as PIM1 kinase inhibitors, contributing to cancer research.
Investigated indirubin derivatives using 3D-QSAR, molecular docking, and ADMET evaluation to design new DRAK2 inhibitors.
Applied computer-aided drug design techniques, including 3D-QSAR and molecular docking, to identify potential PIM2 inhibitors.
Abdellah Ousaa is a researcher specializing in computational drug design and QSAR studies, with a focus on identifying novel inhibitors for various diseases, including cancer and infectious diseases. His work leverages computational methods to accelerate drug discovery and development.
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