Molecular Pharmacology Program Member David Scheinberg focuses on the discovery and development of novel, specific immunotherapeutic agents and targeted nanodevices for cancer therapy.| Sloan Kettering Institute
In a recent preprint, we describe deep-learning breakthroughs that significantly expand the types of proteins and protein assemblies that can be modeled and designed using computers. [Update: This work was published in Science on March 7, 2024.] This work updates two of our most powerful software tools, RoseTTAFold and RFdiffusion, by training them to operate on additional types of| Baker Lab • UW Institute for Protein Design
Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design. In the new papers, we show that machine learning can be used to create proteins much more accurately and quickly than previously possible. This could lead to many new vaccines, treatments,| Baker Lab • UW Institute for Protein Design
Software Visit our blog to discover our most recent work.| Institute for Protein Design
Staffed by professionals and equipped with advanced resources, our Core R&D Labs accelerate our entire research portfolio.| Institute for Protein Design