Author
National Institute of Standards and TechnologyORCID 0000-0003-2918-1469Unclaimed 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.
Tatiana K. Rostovtseva, Philip A. Gurnev, David P. Hoogerheide, Sergey M. Bezrukov
This study develops small-peptide inhibitors of VDAC inspired by natural proteins, showing they can block the channel in lipid membranes, though with lower potency than the natural inhibitor Syn.
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.