Tag: PNAS

  • Bingxu Liu wins immunology prize

    Bingxu Liu wins immunology prize

    Bingxu Liu, PhD, a postdoctoral scholar in the lab, has been awarded the 2024 Michelson Philanthropies & Science Prize for Immunology. This award recognizes research he performed as a graduate student at MIT on the role Stimulator of Interferon Genes, or STING, plays in defending against viruses, bacteria, and tumors. Bingxu’s doctoral work bridged immunology…

  • Designing hydrogels with the DeForest Lab

    Designing hydrogels with the DeForest Lab

    Initial results from our efforts to design protein hydrogels were published today in PNAS. Recent postdoctoral scholar Rubul Mout led this research together with Ross Bretherton, a recent graduate student in the DeForest Lab. Science writer Sarah McQuate wrote about the project for the UW Newsroom. From UW News When researchers want to study how…

  • Designing binders with the highest affinity ever reported

    Designing binders with the highest affinity ever reported

    This week we report in Nature an AI-enabled advance in biotechnology with implications for drug development, disease detection, and environmental monitoring. Using a combination of traditional and deep learning based molecular design approaches, we’ve created proteins that bind with exceptionally high affinity and specificity to a variety of challenging biomarkers, including human hormones. Notably, we…

  • A new path to carbon storage

    A new path to carbon storage

    Today we published new research that may one day be applied to help remove large amounts of excess carbon from the environment. In a paper appearing in Nature Communications, we show that custom proteins can drive the formation of carbon-rich minerals in laboratory settings. This offers a potential pathway for enhanced carbon storage via engineered organisms. This…

  • Introducing All-Atom versions of RoseTTAFold and RFdiffusion

    Introducing All-Atom versions of RoseTTAFold and RFdiffusion

    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. This work updates two of our most powerful software tools, RoseTTAFold and RFdiffusion, by training them to operate on additional types of molecules beyond just proteins. Through these efforts, we aim to both…

  • Designing protein crystals with sub-nanometer accuracy

    Designing protein crystals with sub-nanometer accuracy

    Today we report in Nature Materials a general strategy for creating proteins that form into precise and pre-specified crystalline structures. The ability to design such biomaterials with high accuracy sets the stage for the development of advanced optical tools, new technologies for chemical separation, and a range of other applications in biotechnology and medicine. This…

  • Beau Lonnquist and Nathan Greenwood win undergraduate research awards

    Beau Lonnquist and Nathan Greenwood win undergraduate research awards

    Congratulations to two of our outstanding undergraduate researchers, Nathan Greenwood and Beau Lonnquist, on receiving prestigious awards from the UW Office of Undergraduate Research! Nathan Greenwood, Washington Research Foundation Fellowship Nathan Greenwood is a fourth-year student at the University of Washington studying Molecular, Cellular, and Developmental Biology. He is interested in the interface of biochemistry…

  • Silk, Wool, and Beyond: AI-Driven Design of Custom Protein Fibers

    Silk, Wool, and Beyond: AI-Driven Design of Custom Protein Fibers

    Today we report in Nature Chemistry a novel approach to designing protein fibers that takes inspiration from silk, wool, and spider webs. This research opens up new avenues in textiles, bioengineering, and beyond. “Silk, wool, and spider webs are all examples of natural protein fibers, and each has a unique blend of flexibility, strength, and…