Unlock untapped enzyme sequence space to enable optimal exploration
Our novel enzyme sequences have been identified from diverse uncultured microbial single-cell genomes and have been selected for desirable properties using ML-assisted models based on structure prediction, structure-based clustering and filtering - you likely will not find these sequences anywhere else.
Transaminases (TAs) are enzymes that catalyze the transfer of an amine group from an amine donor to a ketone or aldehyde. This ability to facilitate the stereoselective amination of prochiral ketones is valuable in pharmaceutical manufacturing, where the demand for chiral amines as building blocks for active pharmaceutical ingredients (APIs) is high.
We have identified and narrowed down a subset of TA enzymes that maintain activity in a variety of extreme conditions across many diverse substrates, useful for the pharmaceutical manufacturing process.
Our screening kit enables the selection of functionally relevant sequences with the future possibility of combining these with downstream enzyme engineering resources to provide a more efficient pathway for protein engineering.
How enzymes are selected for screening
The bitBiome bit-GEM database is the leading resource for searchable and highly usable microbe genome sequences. Drawing on nature’s most potent microbial resources including samples from environments like soil, hotsprings, marine water, mining sites, and other extreme conditions, the bit-GEM database contains a vast array of gene sequences acquired by the bitBiome single-cell sequencing platform. This sequencing method ensures deeper genome coverage, allowing for the discovery of microbial “dark matter”. These sequences have low similarity to those in the public realm, giving the customer the freedom to operate within that sequence space.