Programming biology for
biomanufacturing
Λ DNΛ design company accelerating the transition to a sustainable future. We make biology predictable by combining AI with omics data.
Λ DNΛ design company accelerating the transition to a sustainable future. We make biology predictable by combining AI with omics data.
We are not restricted to model cells and use more than ten different bacterial cell factories, with our platform readily adaptable to new ones.
We design both promoter and 5′ UTR DNA sequences in context with coding sequence and host.
We design regulatory sequences with predictability to accomplish balanced expression of multiple genes to express gene clusters.
We improve expression through context-aware codon optimisation for a particular regulatory sequence and host.
We enhance proteins by engineering thermostability, activity, specificity, and solubility, among others.
We are also extending our platform to include higher eukaryotes.
Keep an eye out!
Rahmi leads an interdisciplinary research group that works in the fields of biophysics, computational and synthetic biology.
Gurvinder works with generative AI and has created world-class machine learning products that serve millions of users.
