Author
National Institute of Standards and TechnologyORCID 0000-0002-8579-553XUnclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Kinjal Mondal, Sarala Padi, Navleen Kaur…·Antonio Cardone
This paper introduces XAMPGen, an interpretable generative model for discovering novel antimicrobial peptides using fine-tuned protein language models and explainable AI techniques.
Sarala Padi, Kinjal Mondal, Navleen Kaur…·Walid Keyrouz
This paper introduces STAMP, a machine learning framework for predicting antimicrobial peptide efficacy across bacterial species, achieving strong predictive performance and real-world validation.
Olivier Soubias, Samuel L. Foley, Xiaoying Jian…·R. Andrew Byrd
The study reveals an allosteric mechanism by which the PH domain of ASAP1 enhances Arf1 GTPase activity through structural and dynamic interactions on a membrane surface.