We are microbial- genomics and bioinformatics research (MGB) group interested in genomic epidemiology and comparative genomics to study the evolution and transmission of bacterial pathogens. We are particularly interested in the regional crisis of growing antimicrobial resistance and dissemination of multidrug resistant pathogens, also like to develop of tools, databases for pathogen genome analysis, prospective surveillance and tracking of emerging pathogens in the environment and clinical settings using whole genome sequencing and bioinformatics analysis. We are using comparative pangenome analysis and phylogenetics approaches to study the genome evolution, transmission, and resistance patterns in bacterial pathogens such as staphylococcus, pseudomonas, Klebsiella and Acinetobacter etc. We have developed high-throughput screening Tools/Software capable to analyses of microbial pangenome (big data) and therapeutic candidates’ identification. Our tools include:

VacSolⒸ

PanRVⒸ

AbAMPdbⒸ

B-vacⒸ

B-panⒸ

VacSol-ML(ESKAPE)Ⓒ

B-vac AIⒸ

In the Structural Bioinformatics domain, we are employing the Homology structural modeling, Ab-initio modeling, Protein-protein interaction studies, Protein-Ligand interaction studies, Protein-nucleotide studies, Pharmacophore modeling, structural visualization of protein by using different tools

We are also interested in system-level analysis and tools for studying the complex biological systems and processes such as diseases and pathways, Together with collaborators we are constructing and analyses the Biological Regulatory Networks (BRNs) and Models through formal modeling approaches. Through these model simulation we try to understand the behavior of an entire biological system (holistic) and relationships between its components (individual entities) and identification markers (states/paths/trajectories) involved in genomic variation and their association with processes/ diseases, identification of therapeutic targets in these pathways.