Light-guided 'optovolution' evolves proteins that switch states on schedule

EPFL researchers have developed a light-based method that can produce proteins that switch states, respond to signals, and even compute, using light and the cell cycle.
Science Daily

Scientists discover a hidden force that helps wire the brain

Growing neurons rely on chemical cues to find their targets, but new research shows that the brain’s physical properties help ...

AI gets water right: How a hydration shield helps proteins keep their shape

A study published in the Journal of the American Chemical Society reports that artificial intelligence can enhance protein stability in an unexpected way—by engineering the water around a protein, not ...
Business Wire

OpenFold Consortium Releases Preview of OpenFold3: An Open-Source Foundation Model for Structure Prediction of Proteins, Nucleic Acids, and Drugs

DAVIS, Calif.--(BUSINESS WIRE)--The OpenFold Consortium, a leading nonprofit artificial intelligence (AI) research consortium, today announced a preview release of OpenFold3, an open-source deep ...
Interesting Engineering

AlphaFold and the architecture that cracked protein structure

Artificial intelligence isn’t just changing how we search the web or generate images. It is reshaping how scientists approach one of biology’s oldest problems: the folding of proteins. Google DeepMind ...
BioSpace

Building the Next Generation of Biologics: Inside the Future of Protein Engineering

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new bottleneck: engineering and producing molecules whose complexity challenges ...
insideHPC

LLNL, AMD and Columbia Report Record Protein Folding Workflow on El Capitan Supercomputer

Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University report they have achieved a milestone in biological computing: ...
today.ucsd

SDSC-housed Protein Data Bank Brings Molecules Up to Size

Accessible to all, millions of scientists, doctors, researchers and students around the world access the RCSB PDB annually. The RCSB PDB Molecule of the Month presents short accounts on selected ...
IEEE

MMProtRepPPI: A Multimodal Protein Representation for Predicting Protein-Protein Interactions Using Sequence and Structure

Recently, a range of effective methods have been developed for predicting protein-protein interactions (PPIs). Among them, the methods based on data derived from protein sequences and structures have ...
9to5Mac

Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...
Purdue University

In Print: ‘Protein Function Prediction: Methods and Protocols’

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...