The protein–ligand docking problem plays an essential role in structure-based drug design.
The challenge for a protein–ligand docking method is how to execute an efficient …

Protein–ligand docking is a process of searching for the optimal binding conformation
between the receptor and the ligand. Automated docking plays an important role in drug …

Molecular docking method plays an important role on the quest of potential drug candidates,
which has been proven to be a valuable tool for virtual screening. Molecular docking is …

Protein–ligand docking is an optimization problem, which aims to identify the binding pose
of a ligand with the lowest energy in the active site of a target protein. In this study, we …

In protein–ligand docking, an optimization algorithm is used to find the best binding pose of
a ligand against a protein target. This algorithm plays a vital role in determining the docking …

The protein–ligand docking problem plays a crucial role in the drug discovery process and
remains challenging in bioinformatics. A successful protein–ligand docking approach …

Protein–ligand docking plays an important role in computer-aided pharmaceutical
development. Protein–ligand docking can be defined as a search algorithm with a scoring …

Protein-ligand docking is an essential part of computer-aided drug design, and it identifies
the binding patterns of proteins and ligands by computer simulation. Though Lamarckian …

AutoDock is a widely used simulation platform for Protein-ligand docking which is a
simulator to provide the field of computer-aided drug design (CADD) with conveniences …

Protein-ligand docking is an essential process that has accelerated drug discovery. How to
accurately and effectively optimize the predominant position and orientation of ligands in the …