Jitendra Kumar

This study designs a novel FLT3 inhibitor with improved binding stability and potency through molecular docking, modification, and simulation.

The paper identifies two potential MCL1 inhibitors through computational methods including pharmacophore modeling, QSAR, docking, and DFT analysis, showing favorable ADMET properties and binding stability.

The paper identifies three natural compounds as potential FLT3 inhibitors for AML using computational methods including pharmacophore screening, docking, ADMET analysis, and molecular dynamics.

This study identifies two natural compounds as potential DNMT3A inhibitors through computational screening and validation, suggesting their use in anti-leukemic therapies.

This study identifies Ternstroside D as a potential dual inhibitor for IDH1/2 mutations in AML through in-silico screening and simulations.