Byung Ho Lee

This paper introduces a coarse-grained simulation framework combining Elastic Network Models and Brownian Dynamics to efficiently generate protein conformational ensembles, showing high accuracy in reproducing residue fluctuations and dominant motions.

This paper introduces a coarse-grained modeling framework to analyze how mutations affect protein conformational dynamics and identifies mutation-sensitive regions.

The paper introduces edENM, an elastic network model refined for DNA, RNA, and protein-nucleic acid complexes, showing better agreement with experimental data than previous models.

This paper introduces an accelerated MD method based on bond-boost hyperdynamics to study protein conformational transitions, validated using Adenylate kinase simulations.