EurekAlert!

AF2-mutation: adversarial sequence mutations against AlphaFold2 in protein tertiary structure prediction

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...
Business Wire

VantAI Launches Neo-1, the First AI Model to Rewire Molecular Interactions by Unifying Structure Prediction and Generation for Therapeutic Design

Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
News Medical

Generating mutated proteins through adversarial attacks on the AlphaFold2 model

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...
The Verge

Google DeepMind’s new AI can model DNA, RNA, and ‘all life’s molecules’

Posts from this topic will be added to your daily email digest and your homepage feed. AlphaFold 3 uses the same method as AI image generators to predict how different molecules fit together.
Phys.org

Researchers apply quantum computing methods to protein structure prediction

Overview of the PSP pipeline. Following genomic sequencing, the primary amino acid sequence is determined. The experimental method then starts with expressing this protein by genetically modifying ...
MIT Technology Review

Google DeepMind leaders share Nobel Prize in chemistry for protein prediction AI

Half the prize goes to Demis Hassabis and John M. Jumper from Google DeepMind for using AI to solve protein folding, and the other to David Baker for tools to help design new proteins. In a second ...