Related Experiment Video
Updated: Jan 1, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4
Sergei Kotelnikov1,2,3, Andrey Alekseenko1,2, Cong Liu1,4
1Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Abstract:
We describe a new template-based method for docking flexible ligands such as macrocycles to proteins. It combines Monte-Carlo energy minimization on the manifold, a fast manifold search method, with BRIKARD for complex flexible ligand searching, and with the MELD accelerator of Replica-Exchange Molecular Dynamics simulations for atomistic degrees of freedom. Here we test the method in the Drug Design Data Resource blind Grand Challenge competition. This method was among the best performers in the competition, giving sub-angstrom prediction quality for the majority of the targets.

