Sreeram Chandra Murthy Peela

The paper introduces kGain, a metric quantifying k-mer frequency shifts due to mutations, and shows it predicts adaptive potential across species and experimental systems.

scKNIFE integrates gene expression with functional annotations to identify tumor programs and treatment-related functional variation in breast cancer.

The paper introduces BioChirp, a system for reliable retrieval of structured biomedical data, outperforming existing agentic NL2SQL systems in accuracy and consistency.

This paper introduces FORGE, a framework that jointly models drug response and gene essentiality to identify treatment groups and predict efficacy using basal gene expression.

The paper analyzes the core genomes of major pneumococcal genotypes in India, identifies genotype-specific variations, and highlights antibiotic resistance and virulence gene distributions.

The paper models the structure of MefA/E protein in Streptococcus pneumoniae using in silico methods and finds it resembles MFS proteins with 13 transmembrane helices in a V-shaped conformation.