Discovery Approach
We take a multi-step approach to drug development, beginning with our proprietary discovery engine which is powered to discover novel editing approaches that enable new therapeutic programs with differentiated editing capabilities.
Source From Nature
Employ sophisticated methods of curating metagenomic data
3 billion+ proteins indexed to date
AI/ML Optimization
High-throughput screening to identify and optimize editing technologies
AI/ML feedback loops used throughout discovery and optimization to improve speed/efficiency
Generate
New discoveries with novel properties
We have discovered 9 proprietary gene editors and 6x more nuclease families than are published in the literature
Engineering
Optimized engineering to significantly improve editing efficiency
Engineering has generated >30x improvement in editing efficiency from the wild type nuclease to achieve therapeutically relevant levels of editing efficiency