William Holmes

University of Louisiana at Lafayette
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Articles (10)

Year:

2025

Year:

2025

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.

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (6)

Dhan Lord Fortela

University of Louisiana at Lafayette

UNITED STATES
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Prashanth Buchireddy

University of Louisiana at Lafayette

UNITED STATES
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Daniel Gang

University of Louisiana at Lafayette

UNITED STATES
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Emmanuel D. Revellame

University of Louisiana at Lafayette

UNITED STATES
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Mark E Zappi

University of Louisiana at Lafayette

UNITED STATES
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William Chirdon

University of Louisiana at Lafayette

UNITED STATES
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