Home » Publications

Category: Publications

Machine learning tools can now create new proteins in seconds

ProteinMPNN excels at creating new proteins

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, …

Read more

Design of permeable peptides leads to new spinout (Vilya)

Researchers at the Institute for Protein Design have discovered how to create peptides that slip through membranes and enter cells. This drug design breakthrough may lead to new medications for a wide variety of health disorders, including cancer, infection, and inflammation. This research appears in the journal Cell [PDF]. Gaurav Bhardwaj, Adam Moyer, Naozumi Hiranuma, …

Read more

Training A.I. to generate medicines and vaccines

Today we report in Science [PDF] the development of artificial intelligence software that can create proteins that may be useful as vaccines, cancer treatments, or even tools for pulling carbon pollution out of the air. This project was led by Jue Wang, Doug Tischer, and Joseph L. Watson, who are postdoctoral scholars at UW Medicine, as well as Sidney Lisanza and David Juergens, …

Read more

Custom biosensors for detecting coronavirus antibodies in blood

Today we report in Nature Biotechnology the design of custom protein-based biosensors that can detect coronavirus-neutralizing antibodies in blood. This research, which builds on prior sensor design technology in the lab, was led by Baker lab postdoctoral scholars Jason Zhang, PhD, and Hsien-Wei (Andy) Yeh, PhD. From Behind the Paper: [W]e utilized the de novo …

Read more

De novo designed rotary proteins

Today we report in Science the design of rotary devices made from custom proteins. These microscopic “axles” and “rotors” come together to form spinning assemblies, rather than being locked in just one orientation. Such mechanical coupling is a key feature of any machine. The new axle-rotor devices — which are each about a billion times smaller than …

Read more

New COVID-19 nasal spray outperforms current antibody treatments in mice

A new protein-based antiviral nasal spray developed by Baker lab researchers in collaboration with scientists Northwestern University, UW Medicine, and Washington University at St. Louis is being advanced toward Phase I human clinical trials to treat COVID-19. Designed computationally and refined in the laboratory, the new protein therapies thwarted infection by interfering with the virus’ …

Read more

Design of proteins binders from target structure alone

Today we report in Nature a new method for generating protein drugs. Using Rosetta-based design, an international team designed molecules that can target important proteins in the body, such as the insulin receptor, as well as proteins on the surface of viruses. This solves a long-standing challenge in drug development and may lead to new …

Read more

Diverse protein assemblies by (negative) design

A new approach for creating custom protein complexes yields asymmetric assemblies with interchangeable parts. Today we report in Science the design of new protein assemblies made from modular parts. These complexes — which adopt linear, branching, or closed-loop architectures — contain up to six unique proteins, each of which remains folded and soluble in the absence …

Read more

Deep learning dreams up new protein structures

Just as convincing images of cats can be created using artificial intelligence, new proteins can now be made using similar tools. In a new report in Nature, we describe the development of a neural network that “hallucinates” proteins with new, stable structures. “For this project, we made up completely random protein sequences and introduced mutations into …

Read more

Deep learning reveals how proteins interact

A team led by scientsts in the Baker lab has combined recent advances in evolutionary analysis and deep learning to build three-dimensional models of how most proteins in eukaryotes interact. This breakthrough has significant implications for understanding the biochemical processes common to all animals, plants, and fungi. This open-access work appears in Science. “To really …

Read more