AlphaFold
Open source implementation of AlphaFold 2, a deep learning system for highly accurate protein structure prediction.
What is AlphaFold?
AlphaFold is an open-source implementation of the AlphaFold 2 inference pipeline, a deep learning system that predicts the 3D structures of proteins from their amino acid sequences with high accuracy. It addresses a fundamental challenge in structural biology by enabling researchers to understand protein function and accelerate discoveries in fields like medicine and biotechnology. The package provides a containerized pipeline for predicting structures of both single protein chains (monomers) and protein complexes (multimers).
Bioinformaticians, computational biologists, and structural biology researchers who need to predict protein structures computationally, particularly those with access to Linux systems, modern NVIDIA GPUs, and substantial storage (up to 3 TB).
Developers choose AlphaFold for its state-of-the-art accuracy competitive with experimental methods, as demonstrated in CASP14, and its comprehensive open-source implementation that includes confidence metrics, template search, and relaxation steps. Its unique selling point is making breakthrough protein structure prediction accessible to the scientific community with a robust, Dockerized pipeline.
Overview
Open source code for AlphaFold 2.
Use Cases
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