Learn molecular docking, MD simulation, QSAR modeling, pharmacophore analysis, and AI-driven drug discovery — from beginner to expert, with hands-on practice on the BioDockify platform.
From foundations to advanced computational drug discovery — taught by experts, practiced on real tools.
Learn the fundamentals of molecular docking — protein-ligand interactions, binding sites, scoring functions, and how to run your first AutoDock Vina docking.
Master consensus docking using AutoDock Vina, GNINA, SMINA, and RF-Score. Learn virtual screening, batch docking, and AI interpretation of results.
Run GROMACS MD simulations on AWS GPU. Learn system preparation, force fields, trajectory analysis (RMSD/RMSF), and binding free energy calculations.
Build predictive QSAR models merging Open3DQSAR, Py-CoMFA, and OPERA. Learn PLS regression, MIF calculations, and model validation.
Identify pharmacophore features, generate 3D pharmacophore models, and screen compound libraries using OpenPharmaco and Pharmer.
Use BioDockify AI for literature search, knowledge graph building, research gap discovery, experiment design, and academic writing — with your own API key.
Follow this structured path from beginner to expert computational researcher.
Understand the drug discovery pipeline, protein structures, and molecular interactions. Take "Introduction to Molecular Docking" (free).
Run real docking jobs on BioDockify. Learn protein preparation, ligand preparation, grid box setup, and result analysis.
Master consensus scoring, batch docking with 100+ compounds, and AI interpretation of docking results.
Validate docking hits with MD simulation and build predictive QSAR models for lead optimization.
Use BioDockify's academic writer, citation manager, and journal finder to publish your research.
We don't just teach theory — you practice on real computational tools.
Every course includes practical exercises on the BioDockify platform. Run real docking, MD, and QSAR jobs — not just simulations.
Ask BioDockify AI questions while learning. Get instant explanations, experiment suggestions, and personalized guidance.
Earn a verified certificate for each completed course. Add it to your LinkedIn, CV, or academic portfolio.
Join our WhatsApp community of researchers. Share results, ask questions, and collaborate on projects.
Access BioDockify's knowledge base — search papers, build knowledge graphs, and discover research gaps as you learn.
Courses are self-paced. Access from laptop, tablet, or phone. Your progress syncs across devices.
Courses designed by pharmaceutical researchers and computational chemists.
Pharmaceutical Sciences
15+ years experience
Molecular Modeling
AI Drug Discovery
Bioinformatics
Structural Biology
Platform Developers
AI Engineers
Join 500+ researchers learning computational drug discovery on BioDockify.