Mohammad M. Sajadi

This study improves HIV broadly neutralizing antibodies through multistate engineering, resulting in enhanced breadth and potency against diverse Env variants.

This study engineers an HIV broadly neutralizing antibody to improve its potency, antiviral activity, and manufacturability while maintaining safety and efficacy.

This study evaluates alignment-free methods for viral sequence classification, showing high accuracy and efficiency on SARS-CoV-2, dengue, and HIV datasets.

Craft is a machine learning framework for dengue subtyping that achieves high accuracy and speed, outperforming existing tools in classification efficiency.

The paper identifies miR-2392 as a miRNA involved in SARS-CoV-2 infection, showing its role in inflammation, glycolysis, and hypoxia, and develops a miRNA-based therapeutic targeting it.