AlphaFold 3 can predict protein structures and interactions, and now researchers around the world can use it freely.

Google DeepMind releases AlphaFold 3's source code to academics, marking a significant advance in AI-powered molecular biology and drug discovery, while balancing open science with commercial ...

AI-human collaboration in a "Virtual Lab" successfully designs and experimentally validates nanobodies with enhanced binding ...

Researchers developed MassiveFold, an enhanced AlphaFold version optimized for parallel processing, which accelerates protein ...

Google DeepMind, the tech giant’s AI research lab, has just open-sourced its AlphaFold 3 protein prediction model. That means ...

AlphaFold 3’s predecessor could predict protein structures The AI model is available for academic purposes only DeepMind ...

DeepMind has once again taken a significant step in computational biology with the release of AlphaFold 3’s inference codebase, model weights, and an on-demand server. This update brings unprecedented ...

Google DeepMind has finally open sourced the AlphaFold 3 model, making its training weights accessible to academic researchers and scientists—for non-commercial use only. Check out the model here. In ...

Google DeepMind has released AlphaFold 3 on GitHub. The release includes both code and model parameters. According to AlphaFold 3's terms of use for the model ...

AlphaFold 3 inference pipeline. Contribute to genostack/alphafold-3 development by creating an account on GitHub. Skip to content Navigation Menu Toggle navigation Sign in Product GitHub Copilot Write ...

This package provides an implementation of the inference pipeline of AlphaFold 3. See below for how to access the model parameters. You may only use AlphaFold 3 model ...