Krishna Kant Gupta

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

This study identifies USAG-1 as a drug target for teeth regeneration and proposes a natural lead molecule to induce regeneration while addressing side effects.

The paper identifies four epitopes on SARS-CoV-2 proteins with potential for vaccine development through computational analysis of antigenicity, epitope prediction, and structural modeling.

The paper identifies six miRNAs over-expressed in metastatic cervical cancer and suggests they could serve as diagnostic and prognostic biomarkers.

The paper evaluates eudesmol as a potential inhibitor of glucosyltransferase through docking and molecular dynamics simulations, showing higher stability than a reference compound.