Yogendra Kumar

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

This study compares Gal-PAMAM and Gal-PETIM dendrimers as siRNA carriers using molecular dynamics simulations, showing Gal-PAMAM has stronger binding at pH 7 while Gal-PETIM shows hydrophobic behavior in polar solvents.

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

This study uses MD simulations to analyze the self-assembly of mycolic acids in water, revealing structural properties and conformational changes in monolayers and mixtures, with quantitative agreement with experimental results.