Nature - A computational approach is used to design modular proteins that bind to synthetic peptides and disordered regions of human proteins with high affinity and specificity.

In a new paper in Science, we use deep learning to create proteins that toggle between states, mirroring the dynamic function of electronic transistors.

AlphaFold can predict the shape of proteins to within the width of an atom. The breakthrough will help scientists design drugs and understand disease.

David Baker will deliver the 2021 Max Perutz Lecture: ‘The coming of age of de novo protein design.’

The design of proteins that bind to a specific site on the surface of a target protein using no information other than the three-dimensional structure of the target remains an outstanding challenge....

The machine-learning tool could help researchers discover entirely new proteins not yet known to science.

In recent years, de novo design of high-affinity protein-binding proteins has become a reality, solely based on target structural information. However, there is still significant room for improveme...

Move over, chatbots and image generation. AI-powered protein design is having a moment

Deep-learning methods enable the scaffolding of desired functional residues within a well-folded designed protein.

Computationally designed self-assembling axle-rotor protein systems populate multiple rotational states.

Today we are making RFdiffusion, our artificial intelligence (AI) program that can generate novel proteins with potential applications in medicine, vaccines, and advanced materials, free for both...

South Korea gave vaccine developer SK Bioscience (302440.KS) the green light on Tuesday for a Phase III study of its COVID-19 vaccine candidate at a time of vaccine shortages, when a spurt in...

Small versions of antibodies bind to virtually any target protein

El investigador es uno de los padres de los sistemas de inteligencia artificial que permiten diseñar máquinas moleculares desde cero para crear nuevos fármacos, combustibles o materiales inimaginables

David Baker and over 90 other top scientists in more than 20 countries call for maximizing the benefits and minimizing risks of AI for protein design. They’ve signed a pledge with ten actionable...

Inspired by digital art generators like DALL-E, biologists are building artificial intelligences that can fight cancer, flu and Covid.

Code for running RFdiffusion. Contribute to RosettaCommons/RFdiffusion development by creating an account on GitHub.

Nature Communications - Here the authors present DeepAccNet, a deep learning framework that estimates per-residue accuracy and residue-residue distance signed error in protein models, which are...

The field of protein structure prediction has greatly advanced in recent years thanks to increasingly accurate deep-learning methods. A new such method, called trRosetta developed at the Institute...

Peptide-binding proteins play key roles in biology, and predicting their binding specificity is a long-standing challenge. While considerable prote...

Run, share, and edit Python notebooks

DeepMind presented remarkably accurate protein structure predictions at the CASP14 conference. We explored network architectures incorporating related ideas and obtained the best performance with a...

There has been considerable recent progress in protein structure prediction using deep neural networks to infer distance constraints from amino acid residue co-evolution[1][1]–[3][2]. We investigated...

The era of engineering proteins for medical applications just got a lot closer, thanks to a five-year, $45 million grant given to the Institute for Protein Design.

Designer proteins could help us build new materials, clean up the environment, and even fight COVID-19.

A two-state design of protein switches that couple effector binding to a conformational change is discussed.

Researchers have begun to crack the code of protein structure, allowing them to remake, well, everything

Nature Reviews Drug Discovery - AlphaFold and RoseTTAFold have delivered a revolutionary advance for protein structure predictions, but the implications for drug discovery are more incremental. For...

The new COVID-19 vaccine from SK Chemicals, has been authorised after meeting the MHRA’s required safety, quality and effectiveness standards.

Machine learning can be harnessed to synthesize artificial light-bearing enzymes that actually work in cells.

With help from computer algorithms, researchers designed proteins from scratch that can trounce the coronavirus in lab animals.

Nature - Digital art techniques can now devise custom, working biomolecules on demand.

Nature Biotechnology - The University of Washington’s Institute for Protein Design has become a hub to galvanize de novo protein engineering, citizen science and much more since its founding...

Our director recently share his thoughts on the impact of AI on life science startups. He spoke with Jenny Cronin, principal at the AI2 Incubator.

Case et al. show that de novo-designed SARS-CoV-2 RBD-specific miniproteins administered as prophylaxis or therapy protect mice against SARS-CoV-2-mediated disease, inflammation, and pathology....