Narendra M. Dixit

Decoding Clade-Specific bNAb-HIV-1 Env Interactions Using Machine Learning

This study uses machine learning to predict bNAb-HIV-1 Env binding energies across clades, revealing clade-specific binding patterns and affinity trends.

Modeling how memory CD8 T cells can elicit post-treatment control of HIV infection

This paper models how memory CD8 T cells can drive post-treatment control of HIV by analyzing SIV-infected non-human primate data and developing a mathematical framework.

Clade-specific influences of glycans on the interactions between HIV-1 envelope and broadly neutralizing antibodies

This study investigates how glycans on HIV-1 Env proteins influence bNAb interactions across different clades using computational modeling and simulations.

Sequestration of histidine kinases by non-cognate response regulators establishes a threshold level of stimulation for bacterial two-component signaling

The paper shows that non-cognate response regulators sequester phosphorylated histidine kinases, establishing a threshold for bacterial two-component signaling to prevent over-response to weak signals.