Author

William N. Lanzilotta

University of GeorgiaORCID 0000-0002-4852-321XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Aarya VenkatiD· 1 shared Andrew L. WolfeiD· 1 shared Arthur J. Ross· 1 shared Bruce Rehlaender· 1 shared Christopher A. Bonagura· 1 shared Daniel E. Levy· 1 shared Dennis LamiD· 1 shared Frank P. McCormickiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aarya VenkatORCID

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2 papers

Recent·Most cited

Selective targeting of oncogenic KRAS G12D using peptide nucleic acid oligomers attached to cell-penetrating peptides

Jayati Mondal, Dennis Lam, Mary E. Gerritsen, Tilmann M. Brotz, Jodi G. Kennedy, Bruce Rehlaender, Arthur J. Ross, Daniel E. Levy, Christopher A. Bonagura, William N. Lanzilotta, Frank P. McCormick, Jeffrey H. Rothman, Andrew L. Wolfe

This study develops PNA oligomers targeting KRAS G12D mutations with cell-penetrating peptides, showing selective repression of mutant mRNA and protein in cells and efficacy in vivo.

bioRxiv · Mar 28, 2025 · PreprintCancer Biology

An explainable unsupervised framework for alignment-free protein classification using sequence embeddings

Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Aarya Venkat, William N. Lanzilotta, Sheng Li, Natarajan Kannan

This paper introduces an alignment-free protein classification framework using sequence embeddings to infer evolutionary relationships and functional motifs across diverse protein superfamilies.

bioRxiv · Feb 8, 2022 · PreprintBioinformatics