Molecular docking is a computational technique that predicts how a small molecule (ligand) binds to a protein target (receptor). It's one of the most widely used methods in structure-based drug discovery, helping researchers identify potential drug candidates and understand binding mechanisms.
At its core, molecular docking simulates the interaction between a protein and a ligand. The algorithm explores different positions and orientations (poses) of the ligand within the protein's binding site, scoring each pose based on predicted binding affinity.
With BioDockify, molecular docking is accessible to everyone -- no installation, no command line, no complex configuration. Simply upload your protein and ligand files, select your docking engine, and click Run. Our platform handles protein preparation, ligand conversion, docking execution, and results analysis automatically.
BioDockify uniquely offers three docking engines: AutoDock Vina (the gold standard), GNINA (deep learning CNN scoring), and SMINA (customizable scoring functions). Our consensus scoring combines results from all three engines for more reliable predictions.
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