FogPharma aims not only to achieve near-universal druggability, but also to dramatically accelerate the speed and scalability of drug discovery. Here again, we draw inspiration from evolution, and combine it with recent advances in chemistry, biology, data science, and automation to create the foundations of a truly next-generation multiplexed and machine learning-enabled drug discovery engine. This engine exploits the polymeric nature of peptides to enable the rapid creation and testing of HeliconTM peptides in controlled mixtures, with no separation or purification, and deploys machine learning to rapidly derive new rules for design optimization. Using this multiplexing engine, small teams of FogPharma’s scientists are able to design, synthesize, and evaluate thousands of new peptides each week in both biochemical and cell-based assays, progressing early hits into leads in a matter of months.
In the 1970s, Steve Wozniak manually iterated through circuit board designs, hardware, and code to create his first computers by hand, eventually leading to the creation of the Apple I. Today, Apple’s engineers develop incomparably more powerful and sophisticated chips using highly automated software – no manual design required. Our aspiration is to follow the technology industry’s lead, push our multiplexing technology to its limits, and build the world’s fastest and most powerful drug discovery engine – one which can be deployed to address the needs of human medicine at an unprecedented scale.