Mohammad Alanjary develops computational tools and methods to advance human health. Previous works include mining bacterial genomes to discover novel natural products, particularly focusing on nonribosomal peptide synthetases (NRPSs) and polyketide synthases (PKSs). His work bridges bioinformatics and natural product chemistry through the creation of web-based platforms that enable researchers to predict and prioritize biosynthetic gene clusters (BGCs) with novel modes of action. His PhD thesis culminated with the development of ARTS (Antibiotic Resistant Target Seeker), which identifies resistance genes within BGCs to predict novel antibiotic targets, autoMLST for rapid phylogenetic analysis of bacterial strains, and methods for large-scale gene cluster networking. Currently, he is focusing on AI driven discovery for repurposing FDA approved drugs. His research interests include: Leveraging knowledge graphs to unify disconnected (meta)data, utilizing agentic AI safely, phylogenomics, and natural product discovery
Search for Mohammad Alanjary's papers on the Publications page