V. Mohanty

This paper develops a biophysical model to predict the fitness of SARS-CoV-2 variants based on RBD binding thermodynamics and epistatic interactions.

The paper proves that maximum mutational robustness in genotype-phenotype maps follows a fractal sums-of-digits function and shows this bound is achieved by RNA secondary structure and HP model phenotypes.

The paper identifies a four-gene signature associated with EV secretion in breast cancer and links it to poor prognosis and immune evasion.

This study uses quantitative proteomics to analyze SARS-CoV-2-infected hamster lung tissues, identifying differentially expressed proteins and pathways linked to disease pathogenesis and severity.

This study uses proteomic profiling to compare resting and activated human CD4+ T cells, identifying protein changes linked to activation, differentiation, and immune function.

The paper analyzes multiomics data to show that uncoupling of copy number and gene expression (UCNE) in cancer is associated with oncogenic signaling and immune suppression, and identifies potential therapeutic targets.

The paper shows that inhibiting the integrin-TGF-β axis enhances NK cell function against glioblastoma stem cells, suggesting it as a therapeutic target.

This paper combines CIS checkpoint deletion with CAR engineering in NK cells to enhance their metabolic fitness and anti-tumor activity in a lymphoma model.