Author

Emmanuel D. Revellame

University of Louisiana at LafayetteORCID 0000-0002-1375-4392Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Mark E. ZappiiD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ashley P. MikolajczykORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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, Wayne W. Sharp, Emmanuel D. Revellame, Rafael A. Hernandez, William E. Holmes, 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.

bioRxiv · Aug 3, 2023 · PreprintBioinformatics