DINC: a new AutoDock-based protocol for docking large ligands.

Area of Science:

• Computational chemistry
• Molecular modeling
• Drug discovery

Background:

• Standard AutoDock protocol is accurate and fast for small ligands (≤6 rotatable bonds).
• AutoDock's standard protocol is slow and less accurate for large ligands.
• Need for efficient computational methods for docking large molecules.

Purpose of the Study:

• Introduce and evaluate a novel incremental protocol (DINC) for docking large ligands.
• Compare DINC's performance against AutoDock's standard protocol.
• Develop a webserver implementation of DINC for broader accessibility.

Main Methods:

• Developed a novel AutoDock-based incremental protocol (DINC).
• DINC docks large ligands in increments, unlike the standard single-step approach.
• Applied DINC to 73 protein-ligand complexes with large ligands and compared results with AutoDock.

Main Results:

• DINC is up to 2 orders of magnitude faster than AutoDock's standard protocol.
• DINC achieves speed-up without sacrificing docking accuracy.
• DINC supports positional restraints for large ligands, aiding conformation computation.

Conclusions:

• DINC offers a significantly faster and equally accurate alternative for docking large ligands.
• The DINC webserver is available at http://dinc.kavrakilab.org.
• DINC can benefit therapeutic drug design, vaccine design, and other fields utilizing large ligands.