AutoDock Vina vs GNINA: Physics-Based vs Deep Learning Docking

By BioDockify Computational Research Team · August 9, 2026 · Comparison

Technical comparison of AutoDock Vina and GNINA molecular docking engines. Published benchmarks, scoring function differences, when to use each, and consensus docking strategy.

Read the complete article with tables, code and references on BioDockify.

Key References

• Trott, O. & Olson, A.J. AutoDock Vina. J. Comput. Chem. 31, 455-461 (2010). DOI: 10.1002/jcc.21334
• McNutt, A.T. et al. GNINA: molecular docking with deep learning. J. Cheminform. 13, 43 (2021). DOI: 10.1186/s13321-021-00522-2
• Li, H. et al. Improving AutoDock Vina with CNN scoring. J. Chem. Inf. Model. (2021).

Scope & Limitations

Benchmarks use crystal structures — real-world performance may differ GNINA CNN requires GPU for reasonable speed Pose prediction accuracy does not equal binding affinity prediction