Machine Learning Applications in Biology and Drug Discovery

Exploring the utilization of machine learning methods in biology, focusing on sequence and structure analysis, protein function annotation, and antibody domain re-engineering for medicinal purposes. Emphasizing the importance of self-supervised systems to guide modifications that enhance antibody functionality while maintaining structural stability. Highlighting the collaborative efforts between academia and pharmaceuticals to advance research in computational biology and drug discovery for rapid and precise medicine design.