An AI-Driven Chemogenomics Knowledgebase for Human-Transmissible Pathogens: A Platform for Antimicrobial Drug Discovery

Integrating bio/chemical information and artificial intelligence would bring new strategies for antimicrobial drug discovery. Herein, the Human Pathogenic Microorganisms Chemogenomics Knowledgebase (HPM-CKB) is presented as the largest domain-specific resource, consolidating chemical, genetic, and proteomic data on human-transmissible pathogens, together with multiple computational functional modules.

The current release covers 7876 pathogenic proteins from 267 microorganisms (including 13,914 protein 3D structures) and 234,287 associated with bioactive molecules. HPM-CKB enables large-scale virtual screening, target identification, and drug repurposing, and integrates a large language model (LLM) for interactive queries. The computational prediction performance of HPM-CKB is corroborated by known inhibitors targeting SARS-CoV-2 replicase polyprotein 1ab.