#Protein Structure Prediction

Discover advancements in protein structure prediction with AlphaFold3, focusing on biomolecular interactions and using genetic diffusion processes. This project incorporates techniques such as pair representations and the Pairformer to improve precision. It addresses challenges in static structure prediction and counters hallucinations with a cross-distillation method. By accurately predicting covalent modifications and using resources like the Protein Data Bank, AlphaFold3 provides a comprehensive framework for researchers, enabling the examination of complex nuclear structures across thousands of residues.

OpenFold is a trainable PyTorch-based model drawing from DeepMind's AlphaFold 2, designed to advance protein structure prediction. As an open-source project, it features comprehensive documentation for installation and model training, serving as a valuable resource for the computational biology community. Licensed under Apache 2.0, OpenFold benefits from ongoing community development. Explore its potential by visiting openfold.readthedocs.io.