Vikas Sood

This study identifies the mitochondrial transaminase GOT2 as a metabolic dependency of JEV and a potential host-directed antiviral target through integrated transcriptomics and proteomics analyses.

The paper proposes a two-phase framework combining distribution-learning and optimization to generate bioactive peptides, achieving high confidence scores and reduced KL divergence in IL-2 and IL-13 induction tasks.

The paper identifies metabolic reprogramming in HIV-treated individuals that impairs monocyte migration and promotes M2-like macrophage polarization, enhancing HIV susceptibility.

This paper introduces a hybrid method for classifying IL-17 inducing peptides, achieving higher accuracy and MCC than existing methods.

The paper analyzes SARS-CoV-2 genomic sequences over time to identify significant mutations and their effects on viral proteins.

The paper introduces a binary k-mer approach to classify coding and non-coding RNAs across species, showing improved performance metrics compared to traditional ATGC methods.

This study uses molecular docking to analyze the binding affinities of Δ9-THC and its metabolites with human blood plasma proteins, finding Δ9-THC has the strongest binding.