MDock: A Suite for Molecular Inverse Docking and Target Prediction

Area of Science:

• Computational chemistry
• Drug discovery
• Pharmacology

Background:

• Molecular docking identifies drug candidates for known protein structures.
• Molecular inverse docking predicts protein targets for specific molecules, crucial for drug repurposing.
• This method aids in the early detection of potential drug side effects and toxicity.

Purpose of the Study:

• To introduce the protocol for molecular inverse docking using MDock software.
• To highlight MDock's suitability for inverse docking applications.
• To provide access to the MDock package for academic researchers.

Main Methods:

• Utilizing MDock, a protein-ligand docking software.
• Employing a knowledge-based scoring function for docking.
• Leveraging computational efficiency for ensemble docking and multiple protein conformations.

Main Results:

• MDock is computationally efficient and well-suited for inverse docking.
• The software facilitates lead identification and drug repurposing.
• A protocol for inverse docking with MDock is detailed.

Conclusions:

• MDock provides an effective computational tool for molecular inverse docking.
• The software supports drug discovery by predicting molecular targets and potential toxicities.
• MDock is freely available to the academic community for research purposes.