Chemical Diversity
Using our high-throughput nanoscale platform, we explore chemical diversity and generate libraries of novel compounds directed toward specific protein families implicated in human disease
Biology and SAR
Through iterative cycles of library synthesis and screening, we align chemical diversity with druggable sites on proteins, creating chemical maps for therapeutic intervention. We validate these chemical maps using proteomic and gene editing technologies
Machine Learning
Our process generates massive datasets that require extensive computational analyses, and through machine learning we can identify patterns that inspire new paths of experimentation and help make discoveries that have been beyond reach
AcTive Learning
At Kimia, we integrate these discovery technologies to form ATLAS: AcTive Learning through Automated Synthesis and screening. ATLAS is our guide to the chemical universe in pursuit of better medicines
