Image from NIH Human Genome Research Institute
Our computational network platform begins with a comprehensive knowledge map of human disease; thousands of genes, non-coding RNAs, proteins, and diseases are linked to each other by millions of known molecular interactions and disease mechanisms. We integrate massive manually curated genomic, proteomic and transcriptomic datasets into a multiplexed complex network model. With our novel algorithms powered by network science analytics and artificial intelligence, we predict and prioritize drug targets for a given disease: anything from bipolar disease to coronary artery disease to acute myeloid leukemia.
MiRNA Drug Discovery Pipeline
We’ve already developed one pipeline specifically tailored to miRNAs—an extremely promising class of therapeutics for complex diseases previously hampered by challenges in drug target identification. Our breakthrough miRNA pipeline is the first in published literature and has already yielded over 200 disease-specific drug targets for cancers as well as endocrine, cardiovascular, psychiatric, and neurodegenerative diseases.
By incorporating patient level data, Theraplexus enables personalized medicine: precise treatments tailored to each patient’s genetic and molecular profile. Our customizable network medicine platform driven by multi-omics data can be tailored to virtually any type of drug target—miRNAs, proteins, small molecules, and more— enabling expansion into whole new modalities of therapeutics.