Our research leverages cutting-edge genomics and Next-Generation Sequencing (NGS) technologies to investigate diarrheal pathogens and their coinfection patterns in patients from Bangladesh. By analyzing the genetic makeup of these pathogens, we aim to uncover their virulence mechanisms, transmission dynamics, and interactions during coinfections, which can inform targeted treatment and prevention strategies.

In parallel, we are conducting whole genome analysis of native cattle, sheep, and goats to explore their genetic diversity, disease resistance, and adaptation to local environments. This work is critical for improving livestock health and productivity, particularly in resource-limited settings.

Additionally, we are focusing on viral pathogens prevalent in Bangladesh, using NGS to identify and characterize emerging and endemic viruses. This includes studying their evolution, spread, and potential zoonotic risks. Together, these genomic approaches provide a comprehensive understanding of pathogen dynamics, contributing to public health and agricultural sustainability in Bangladesh and beyond.

Our research integrates proteomics and structural biology to address critical health challenges, including cancer, Monkeypox, Salmonella, and Cronobacter infections in Bangladesh. By leveraging advanced proteomic techniques, we identify and characterize disease-specific proteins, enabling a deeper understanding of pathogen-host interactions and cancer mechanisms. In structural biology, we employ molecular dynamics (MD) simulations and molecular modeling to explore the 3D structures of proteins and their dynamic behaviors. These approaches help elucidate molecular pathways, predict drug-target interactions, and design novel therapeutics. For instance, MD simulations provide insights into the conformational changes of viral proteins in Monkeypox or the virulence factors of Salmonella and Cronobacter. Our work aims to bridge the gap between molecular insights and clinical applications, contributing to the development of targeted treatments and preventive strategies for these pressing health issues in Bangladesh and beyond.

Our research focuses on metagenomics, particularly in clinical samples, to unravel the complex interactions between microbial communities and human health. We have established baseline gut microbiome data for diverse populations in Bangladesh, including the Bengali, Chakma, Marma, Khiyang, and other tribal groups. This foundational work has provided critical insights into the unique microbial signatures of these populations. Additionally, we are investigating the resistome profile of the Bangladeshi population to understand the prevalence and distribution of antimicrobial resistance genes.

Currently, our efforts are directed toward studying the gut microbiota of populations residing in the islands of Bangladesh, such as Nijhum Dwip and Saint Martin Island. By analyzing their microbial communities, we aim to identify indicative patterns that may serve as predictive markers for disease prognosis. This research holds significant potential for advancing personalized medicine and improving public health outcomes in these unique and understudied populations.

In our pursuit of antidiabetic compounds from native Bangladeshi plants, we integrated computational and animal model experiments to validate potential candidates. Initial screening identified several plants with promising antidiabetic activity, which were further analyzed through pharmacophore modeling to identify key bioactive compounds. These findings were validated using animal models, where the antidiabetic efficacy of plant extracts was assessed through glucose tolerance tests, insulin sensitivity measurements, and other relevant biomarkers. Concurrently, in silico studies, including molecular docking, dynamics simulations, and extensive bioinformatics analysis, were employed to predict compound interactions with diabetes-related targets, such as α-glucosidase, PPAR-γ, and DPP-4. This dual approach ensured robust validation, with computational insights guiding animal experiments and vice versa. By combining traditional knowledge with modern techniques, we aim to identify novel, plant-derived antidiabetic agents, contributing to the development of effective and accessible therapies for diabetes management.

As the first government institute in Bangladesh to sequence the whole genome of SARS-CoV-2 during the COVID-19 pandemic, we played a pivotal role in tracking the virus's evolution and its impact on public health. Our efforts positioned us as the second institution in the country to achieve this milestone. We continuously monitored the mutational landscape of SARS-CoV-2, analyzing the functional implications of acquired mutations and their influence on transmissibility, virulence, and immune evasion. Additionally, we tracked the pandemic's wave dynamics, correlating infection rates with mortality to inform public health interventions.

Beyond COVID-19, we extended our surveillance to the dengue virus, investigating its serotypes and virulence patterns in Bangladesh. Our research combined genomic analysis with in silico validation, providing critical insights into pathogen behavior and guiding outbreak response strategies. These efforts underscore our commitment to advancing epidemiological and pathogen.