Predicting molecular docking of per- and polyfluoroalkyl substances  to blood protein using generative artificial intelligence algorithm DiffDock

This study computationally evaluates the molecular docking affinity of various perfluoroalkyl and polyfluoroalkyl substances (PFAs) towards blood proteins using a generative machine-learning algorithm, DiffDock, specialized in protein-ligand blind-docking learning and prediction. Concerns about the chemical pathways and accumulation of PFAs in the environment and eventually in the human body has been rising due to empirical findings that levels of PFAs in human blood has been rising. DiffDock may offer a fast approach in determining the fate and potential molecular pathways of PFAs in human body.PMID:37947020 | DOI:10.2144/btn-2023-0070

Source: BioTechniques - November 10, 2023 Category: Biotechnology Authors: Dhan Lord B Fortela Ashley P Mikolajczyk Miranda R Carnes Wayne Sharp Emmanuel Revellame Rafael Hernandez William E Holmes Mark E Zappi Source Type: research