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  1. AlphaFold - Wikipedia

    • AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. The program is designed as a deep learning system. AlphaFold software has had three major versions. A team of researchers that used AlphaFold 1 (2018) placed first in the overall rankings of the 13th Critical As… See more

    Background

    Proteins consist of chains of amino acids which spontaneously fold to form the
    Protein structures can be … See more

    Algorithm

    DeepMind is known to have trained the program on over 170,000 proteins from the Protein Data Bank, a public repository of protein sequences and structures. The program uses a form of attention network, a deep learning technique … See more

    Competitions

    In December 2018, DeepMind's AlphaFold placed first in the overall rankings of the 13th Critical Assessment of Techniques for Protein Structure Prediction (CASP).
    The program was particularly successfully predicting t… See more

    Reception

    AlphaFold 2 scoring more than 90 in CASP's global distance test (GDT) is considered a significant achievement in computational biology and great progress towards a decades-old grand challenge of biology. Nobel Prize winner … See more

    Source code

    The open access to source code of several AlphaFold versions (excluding AlphaFold 3) has been provided by DeepMind after requests from the scientific community. Full source code of AlphaFold-3 is expected to be provide… See more

    Database of protein models generated by AlphaFold

    The AlphaFold Protein Structure Database was launched on July 22, 2021, as a joint effort between AlphaFold and EMBL-EBI. At launch the database contains AlphaFold-predicted models of protein structures of nearly the full … See more

    Limitations

    AlphaFold has various limitations:
    • AlphaFold DB provides monomeric models of proteins, rather than their biologically relevant complexes.
    • Many protein regions are predicted with low confidence score, including the … See more

     
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  1. AlphaFold2 is a multicomponent artificial intelligence (AI) system that uses machine learning to predict a protein’s 3D structure based on its primary amino acid sequence. Machine learning is a way for an AI to learn the patterns in a huge dataset.
    www.ebi.ac.uk/training/online/courses/alphafold/an …
    Since the powerhouse artificial intelligence (AI) tool AlphaFold2 was released in 2021, scientists have used the protein-structure-prediction model to map one of our cells’ biggest machines, discover drugs and chart the universe of every known protein.
    www.nature.com/articles/d41586-024-01383-z
     
  2. AlphaFold2 and its applications in the fields of biology and medicine

     
  3. AlphaFold 2 is here: what’s behind the structure …

    Jul 19, 2021 · Nature has now released that AlphaFold 2 paper, after eight long months of waiting. The main text reports more or less what we have known for nearly a year, with some added tidbits, although it is accompanied by a …

  4. What is AlphaFold2? | NVIDIA Glossary

  5. AlphaFold 2: Why It Works and Its Implications for Understanding …

  6. What is AlphaFold? | AlphaFold - EMBL-EBI

    AlphaFold2 is a multicomponent artificial intelligence (AI) system that uses machine learning to predict a protein’s 3D structure based on its primary amino acid sequence. Machine learning is a way for an AI to learn the patterns in a …

  7. AlphaFold2: A high-level overview | AlphaFold - EMBL …

    AlphaFold2 uses MSAs to compare and analyse the sequences of similar proteins from different organisms. It highlights similarities and differences, which helps understand the evolutionary relationships between the proteins.

  8. AlphaFold 2 Explained: A Semi-Deep Dive - Dale on AI

    Dec 9, 2020 · But since AlphaFold (2) is actually an iteration on a slightly older model (AlphaFold 1) published last year, we can make some pretty good guesses. In this post, I’ll focus on two core pieces: the underlying neural …

  9. Before and after AlphaFold2: An overview of protein …

    Here, we provide an overview of the methods developed to perform protein structure prediction to compare with AlphaFold2, which combines neural networks and homology modeling to generate models that may have experimental …

  10. An Overview of Alphafold's Breakthrough - PMC

  11. Explained: A brief look into AlphaFold 2 - BioStrand

    Aug 3, 2022 · AlphaFold2 is an end-to-end solution to the protein structure prediction problem, starting from a sequence as an input, and protein structure model (PDB file format) as the output.

  12. AlphaFold: a solution to a 50-year-old grand challenge in biology

  13. AlphaFold 2: Why It Works and Its Implications for Understanding …

  14. AlphaFold2: Reshaping Our Understanding of Protein Folding

  15. How is AlphaFold2 used by scientists? | AlphaFold - EMBL-EBI

  16. AlphaFold2: The AI That Cracked the Protein Folding Code

  17. AlphaFold2 & AlphaFold3: Usage and Applications

  18. Alphafold 2: The AI System That Won Google a Nobel Prize

  19. CASP14: what Google DeepMind’s AlphaFold 2 really achieved, …

  20. DeepMind’s AlphaFold 2 is half of the story - Analytics India …

  21. Key takeaways about AlphaFold2 | AlphaFold - EMBL-EBI

  22. AI decodes CNNM Na+/Mg2+ exchange: Structure - Cell Press

  23. "How AlphaFold is Changing Science Forever!" AI & Biology

  24. Mismatch prime editing gRNA increased efficiency and reduced …

  25. 斯坦福博士图解AlphaFold 3:超多细节+可视化还原ML工程师眼 …

  26. Structural diversity of axonemes across mammalian motile cilia

  27. Conformational landscape of soluble α-klotho revealed by …