Author

Mark E. Zappi

University of Louisiana at LafayetteORCID 0000-0002-7608-076XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Ashley P. MikolajczykiD· 1 shared Dhan Lord B. FortelaiD· 1 shared Emmanuel D. RevellameiD· 1 shared Miranda R. Carnes· 1 shared Rafael A. HernandeziD· 1 shared Wayne W. Sharp· 1 shared William E. HolmesiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Ashley P. MikolajczykORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 3, 2023

Predicting Molecular Docking Affinity of Per- and Polyfluoroalkyl Substances (PFAs) Towards Human Blood Proteins Using Generative AI Algorithm DiffDock

Dhan Lord B. Fortela, Ashley P. Mikolajczyk, Miranda R. Carnes…·Mark E. Zappi

This study uses DiffDock to predict molecular docking affinity of PFAs to human blood proteins, offering a faster alternative to traditional chemical analysis.

1 citation

humanproteomics