This repository provides a PyTorch reimplementation of AlphaFold 3, Google DeepMind’s model for predicting the 3D structures of proteins and other biomolecules. It uses transformer architecture with attention mechanisms and diffusion-based techniques to generate accurate structural predictions from amino acid sequences and molecular inputs. The implementation enables researchers to run and study AlphaFold 3’s methodology outside the official infrastructure.