Purdue University

Deep learning, 3D technology to improve structure modeling for protein interactions, create better drugs

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...
EurekAlert!

Deep learning enhances accuracy and efficiency in protein structure prediction

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...
News Medical

Deep learning techniques transform protein structure prediction

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
Business Wire

OpenFold Biotech AI Research Consortium releases SoloSeq and Multimer, an integrated protein Large Language Model with 3D structure generation

DAVIS, Calif.--(BUSINESS WIRE)--OpenFold, a non-profit artificial intelligence (AI) research consortium, today announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large ...
Wired

Google DeepMind’s Groundbreaking AI for Protein Structure Can Now Model DNA

Google spent much of the past year hustling to build its Gemini chatbot to counter ChatGPT, pitching it as a multifunctional AI assistant that can help with work tasks or the digital chores of ...
Ars Technica

Large language models also work for protein structures

The success of ChatGPT and its competitors is based on what’s termed emergent behaviors. These systems, called large language models (LLMs), weren’t trained to output natural-sounding language (or ...