AlphaFold
Pricing Details
Free and open-source. Requires computational resources (GPUs) to run, costs vary by provider (e.g., Google Cloud). Access via AlphaFold DB and ColabFold is free.Features
Protein structure prediction; High accuracy (near experimental); Deep learning architecture; Prediction of protein-ligand, protein-nucleic acid, and protein-protein complexes (AlphaFold 3); Open-source code; Access via ColabFold and AlphaFold DB; Prediction confidence scores; Handles single sequences and multiple sequence alignments.Integrations
Integration with protein databases (UniProt, PDB); Integration with structure visualization tools (PyMOL, ChimeraX); API access (AlphaFold DB); Integration with variant analysis tools (AlphaMissense); Integration with protein design platforms (eProtein Discovery).Preview
AlphaFold is a revolutionary artificial intelligence system developed by Google's DeepMind, designed to solve one of the fundamental problems in biology: predicting the 3D structure of a protein from its amino acid sequence. Using deep learning techniques and neural networks, AlphaFold has achieved unprecedented accuracy in this task, comparable to experimental methods. This breakthrough has immense implications for understanding protein function, disease mechanisms, and drug discovery. AlphaFold and its associated database, the AlphaFold Protein Structure Database (AlphaFold DB), have made predicted structures for millions of proteins freely available to the scientific community worldwide. The system continues to evolve, with the latest version, AlphaFold 3, capable of predicting the structures of protein complexes with other biomolecules (DNA, RNA, ligands). Access to AlphaFold is provided through open-source code, Google Colab (ColabFold), and the AlphaFold DB. While the software itself is free, running it requires significant computational resources, particularly GPUs. AlphaFold is widely used in academic research, the pharmaceutical industry, biotechnology, and other life science fields.