Nanograb is a computational drug discovery company that uses AI to generate the best combination of binders to treat different diseases. Our product allows drugs to be targeted to very specific areas of the body.
Co-founder and CEO of Nanograb. PhD in Computational Biophysics from Imperial College London. Experienced in molecular simulations and building software for scientists. First software hire at Fabricnano
Co-founder of Nanograb. M.Eng Biomaterials and Tissue Engineering at Imperial College London. Biomedical engineering experience developing biosensors using aptamers, and a drug delivery device for hypertension management.
Cofounder and in silico lead at Nanograb; Imperial College PhD (dropout); Fascinated by all things compute and physics... all in the name of figuring out real life things! Otherwise, I love singing and music in general. Fun fact: I was in an a cappella group for 5 years :)
These drugs need lower dosages due to their side effects. Targeting would minimise these side effects and mean that a smaller, more effective dose could be given to a patient. But there are no existing platforms for creating drugs that will target exactly where they need to be in the body.
For example in cancer, when scientists try to create targeted drugs, they use molecules like antibodies that attach to the cancerous cell at a single site on a single receptor. Since these cancerous cells have the same receptors as healthy cells, both types are killed by toxic payloads!
We generate the best combination of binders using AI and a multivalent physics engine. We will do what no other technology is able to do:
Nanograb’s vision is to transform the therapeutic landscape across the entire healthcare spectrum. Nanograb will be creating new therapies on-demand with next-generation targeting whether it’s infinitely mutating cancers, incurable neurodegenerative diseases or Disease X
Our scalable platform has proof of concept data in vitro and in vivo and our goal is to scale these methods to dozens of different applications.