Author

Aryan Kohli

University of California, Los Angeles

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Christian ChungiD· 2 shared Christopher KorbaniD· 2 shared Alexandra Y Jensen· 1 shared Nathan LabiosaiD· 1 shared Omar Fayaz· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBioengineering

Christian ChungORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintOct 31, 2024

Hybrid Transformer and Neural NetworkConfiguration for Protein Classification UsingAmino Acids

Nathan Labiosa, Aryan Kohli, Christian Chung, Christopher Korban

This paper introduces a hybrid machine learning model for protein classification using amino acids, achieving 95% accuracy and outperforming existing methods by 15%.

1 citation

protein sequencedeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintApr 14, 2024

Potential Opportunities of Modeling Bioavailability for Monoclonal Antibodies: An Overview of mAbs and the current challenges of mAb development

Aryan Kohli, Omar Fayaz, Alexandra Y Jensen…·Christopher Korban

This paper reviews 10 monoclonal antibodies, analyzes their pharmacokinetic and pharmacodynamic properties, and uses a machine learning model to assess subcutaneous bioavailability and optimize drug delivery.

DOI 10.1101/2024.04.14.589447

proteomicsmachine learning (classical)

𝕏 PostBluesky