Author

Maria Artiles

University of North Texas Health Science CenterORCID 0000-0001-7125-5113Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Bharani NammiiD· 2 shared Jin LiuiD· 2 shared Sita Sirisha MadugulaiD· 2 shared Vindi M. Jayasinghe‐ArachchigeiD· 2 shared Charlene Norgan RadleriD· 1 shared Dominic Mashburn· 1 shared Pranav PujariD· 1 shared Shouyi WangiD· 1 shared

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2024-2025 · peak 1/yr

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10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Bharani NammiORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintFeb 28, 2025

CasGen: A Regularized Generative Model for CRISPR Cas Protein Design with Classification and Margin-Based Optimization

Bharani Nammi, Vindi M. Jayasinghe‐Arachchige, Sita Sirisha Madugula…·Shouyi Wang

CasGen generates novel Cas9 and Cas12 proteins using a transformer-based model with margin-based regularization, achieving structural similarity and functional integrity.

4 citations

protein sequencedeep learning

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BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJun 5, 2024

Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum

Sita Sirisha Madugula, Pranav Pujar, Bharani Nammi…·Jin Liu

The paper uses machine learning to identify distinguishing features of Cas9 and Cas12 proteins, finding specific tripeptides important for their function.

6 citations

protein sequencemachine learning (classical)

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