Designing Proteins from Sequence Alone: LFMs for Biology

Liquid builds foundation models over amino acid tokens, enabling promptable protein design from sequence alone. In this interview, CTO Mathias Lechner talks with Kaeli Kaymak-Loveless, a machine learning research engineer working on biological applications of LFMs, about designing proteins from sequence alone, engineering an efficient plastic-degrading enzyme, and how the same LFM could point towards new cancer therapeutics. Subscribe to follow every interview: https://www.youtube.com/@liquid-ai-inc Careers at Liquid AI: https://www.liquid.ai/careers