Explore how resident microbes change the behavior of drugs.
Introduce bioinformatics and microbial genomics to pharmacy students while benefiting the research community.
Build a knowledge base that allows interested students and scholars, in the future, to predict the behavior of untested members of drug classes or unstudied microbial species, and to design laboratory experiments for testing these predictions.
Step1: mining existing literature and extracting all known microbe-drug interactions.
Step2: manual curation of the extracted literature data(Pubmed) and their classification by drug classes (PubChem), microbial families (Taxonomy), and body systems (HMP).
Step3: creation of a relational database that includes the microbes at different body sites and their effects on drugs’ pharmacokinetic(fate) and pharmacodynamic(action) properties.
Scientific Problem and Technical Solution PharmacoMicrobiomics Body site Chemical ID Drug name Assay Drug class Effect (Increase/Decrease) Microbial ID Description Pathway/genes responsible Pubmed ID Classification hierarchy