Head of Research, Pepticom
Ab Initio Computational Peptide Discovery: Concepts and Examples
The addition of computational peptide discovery to existing methodologies presents new opportunities for both academia and industry. In this talk I will introduce Pepticom’s computational discovery platform, cover the problem at hand and its solution complexity. This will be followed by a short summary of successful discovery stories including: A chaperone that rescues a misfolded protein and cyclic immunomodulators composed of both L and D amino acids. I will present current development efforts and compatibility with microarray display technology. Finally, I will share Pepticom’s long term vision of an end-product integrated discovery platform.
My mission in life is simple: To bring about the efficient discovery of pharmaceutical peptides through a multi-layered, reinforcement learning, Artificial Intelligence (AI) approach. This vision is shared by all Pepticom team members, creating a unique, highly motivated, R&D team. To go about this, our team utilizes mathematical economics models and peptide chemistry that combine with computer science towards innovative reinforcement learning. We are still in the beginning of this exciting road, with several peer reviewed discovery publications and a few successful market applications. I hope to learn more and meet exciting collaboration partners at BPS 2019!