Assessing ligand Traversability in protein tunnels: A motion planning approach

This paper presents a clever movement arranging framework to evaluate the traversability of ligand molecules within protein tunnels, utilizing the Haloalkane dehalogenase protein (PDB ID 1CQW) as a case study. The approach involves defining key metrics such as accessibility, throughput, and ligand scale to assess local and global traversability of tunnel segments. By implementing a planner that scales ligand radii, we systematically analyze the impact of various scaling factors on the success rates of ligand trajectories. Visualization techniques, including color mapping of tunnel properties and trajectory clustering, facilitate the interpretation of the results. Our experimental findings reveal significant insights into tunnel accessibility, highlighting that regions near bottlenecks exhibit critical limitations while alternative pathways may offer viable routes. The results underscore the importance of dynamic assessments in tunnel traversability, suggesting that while static models provide foundational insights, incorporating motion dynamics can enhance our understanding of ligand behavior within protein structures. This work aims to inform future studies in protein engineering and drug design by providing a comprehensive methodology for analyzing ligand transport through complex protein architectures.