Microbial Genomics & Bioinformatics Group (MBG)

Principal Investigator: Dr. Amjad Ali

The Microbial Genomics & Bioinformatics group is dedicated to employing integrative genomics methods, focusing on the production and analysis of publicly available genomic data.

Their primary objective is to delve into bacterial genomic epidemiology, evolution, and transmission. These initiative is driven by the urgent need to address the escalating challenge of antimicrobial resistance (AMR) and the spread of multidrug-resistant pathogens across both community and healthcare environments.

vthe team is actively developing tools and databases tailored for pathogen genomic data. These resources facilitate prospective surveillance and monitoring of emerging pathogens in various settings, including both clinical environments and the wider environment.

vemploying innovative reverse vaccinology and machine learning methodologies for predicting and designing of potential immunogenic and therapeutic targets, including vaccines and drugs targets.

vthe prominent contribution of the group inc. the software tools & Databases: VacSol, VacSol-ML, Pan-RV, B-Vac and B-Vac-AI, and AbAMPdb.

Recent Publications

Whole genomes from bacteria collected at diagnostic units around the world 2020Nature Scientific Data 2023
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021 Nucleic Acids Research
Genomic investigation of Methicillin-resistant Staphylococcus aureus ST113 strains isolated from tertiary care hospitals in Pakistan Antibiotics
Comparative genomic analysis of a Panton-Valentine Leuko-2 cidin-positive ST22 community-acquired methicillin-resistant 3 Staphylococcus aureus from Pakistan Antibiotic
Whole-genome sequencing of a new sequence type (ST5352) strain of community-acquired methicillin-resistant Staphylococcus aureus from a hospital in Pakistan J. global antimicrob resistance
Chimeric Vaccine Designs against Acinetobacter baumannii using Pangenome and Reverse Vaccinology Approaches Scientific Reports
Comparative analysis of whole-genome and methylome profiles of a smooth and a rough Mycobacterium abscessus clinical strain G3-Genes Genomes Genetic
VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology BMC Bioinformatics
PanRV: Pangenome-Reverse vaccinology package for identifications of potential vaccine candidates by exploiting the microbial pangenome BMC Bioinformatics 2019