Prashant Ranjan

This study uses whole exome sequencing and multi-omics integration to identify genetic variants associated with congenital tooth agenesis, revealing potential biomarkers and therapeutic targets.

This study examines the structural and dynamic effects of PKD1 missense variants on RNA and protein levels using computational methods to understand their role in ADPKD pathogenesis.

This study analyzes PIH1D1 and p53 expression in pediatric brain tumors using TCGA data, identifying them as potential prognostic markers and therapeutic targets.

This study shows Guggulsterone induces apoptosis in prostate cancer cells by increasing NKX3.1 expression and stabilizing its mRNA and protein, suggesting it as a potential chemoprevention target.

The paper analyzes the wheat WRKY45 protein using bioinformatics and MD simulations to understand its structure, function, and evolutionary relationships.

The paper identifies a novel PAX9 mutation causing non-syndromic tooth agenesis through in vitro and computational analysis.

This paper uses computational methods to analyze how the Omicron variant's mutations affect its binding to ACE2 and antibodies compared to Delta and wild-type SARS-CoV-2.

The paper analyzes SARS-CoV-2 RBD variants using molecular dynamics to assess their impact on vaccine efficacy and ACE2/antibody binding.