From complex data to clear insights: visualizing molecular dynamics trajectories.
Fiche publication
Date publication
avril 2024
Journal
Frontiers in bioinformatics
Auteurs
Membres identifiés du Cancéropôle Est :
Pr DAUCHEZ Manuel
Tous les auteurs :
Belghit H, Spivak M, Dauchez M, Baaden M, Jonquet-Prevoteau J
Lien Pubmed
Résumé
Advances in simulations, combined with technological developments in high-performance computing, have made it possible to produce a physically accurate dynamic representation of complex biological systems involving millions to billions of atoms over increasingly long simulation times. The analysis of these computed simulations is crucial, involving the interpretation of structural and dynamic data to gain insights into the underlying biological processes. However, this analysis becomes increasingly challenging due to the complexity of the generated systems with a large number of individual runs, ranging from hundreds to thousands of trajectories. This massive increase in raw simulation data creates additional processing and visualization challenges. Effective visualization techniques play a vital role in facilitating the analysis and interpretation of molecular dynamics simulations. In this paper, we focus mainly on the techniques and tools that can be used for visualization of molecular dynamics simulations, among which we highlight the few approaches used specifically for this purpose, discussing their advantages and limitations, and addressing the future challenges of molecular dynamics visualization.
Mots clés
computed simulations, computer graphics, data visualization, molecular dynamics, scientific visualization
Référence
Front Bioinform. 2024 04 11;4:1356659