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  2. Predicted Aligned Error - Wikipedia

    en.wikipedia.org/wiki/Predicted_Aligned_Error

    Download QR code; Print/export Download as PDF; ... (PAE) is a quantitative output produced by AlphaFold, a protein structure prediction system developed by DeepMind. [1]

  3. AlphaFold - Wikipedia

    en.wikipedia.org/wiki/AlphaFold

    The AlphaFold Protein Structure Database, a joint project between AlphaFold and EMBL-EBI, was launched on July 22, 2021. At launch, the database contained AlphaFold-predicted models for nearly the complete UniProt proteome of humans and 20 model organisms , totaling over 365,000 proteins.

  4. Google DeepMind CEO wins joint Nobel Prize in chemistry for ...

    www.aol.com/google-deepmind-ceo-wins-joint...

    DeepMind has also released the AlphaFold Protein Structure Database, which includes free-to-access models of microscopic protein structures.

  5. Scientists who used AI to ‘crack the code’ of almost all ...

    www.aol.com/news/scientists-used-ai-crack-code...

    Their AI program – the AlphaFold Protein Structure Database – has been used by at least 2 million researchers around the world. It acts as a “Google search” for protein structures ...

  6. CASP - Wikipedia

    en.wikipedia.org/wiki/CASP

    A target structure (ribbons) and 354 template-based predictions superimposed (gray Calpha backbones); from CASP8. Critical Assessment of Structure Prediction (CASP), sometimes called Critical Assessment of Protein Structure Prediction, is a community-wide, worldwide experiment for protein structure prediction taking place every two years since 1994.

  7. Molecular Operating Environment - Wikipedia

    en.wikipedia.org/wiki/Molecular_Operating...

    By utilizing a database with over 350,000 structures, AlphaFold can determine the shape of a protein in a few minutes with atomic accuracy. [32] The ability to predict the structure of millions of unknown proteins can help to combat disease, find more effective medicines, and unlock other unknowns that govern life.

  8. List of protein subcellular localization prediction tools

    en.wikipedia.org/wiki/List_of_protein_sub...

    It can be applied to any model organism. Currently has 3 modules: a sequence conservation explorer that includes homology relationships and single nucleotide polymorphism data, a protein structure model explorer, a molecular interaction network explorer, a gene product subcellular localization explorer, and a gene expression pattern explorer.

  9. Protein–ligand docking - Wikipedia

    en.wikipedia.org/wiki/Protein–ligand_docking

    There has been rapid development in computational ability to determine protein structure with programs such as AlphaFold, [2] and the demand for the corresponding protein-ligand docking predictions is driving implementation of software that can find accurate models. Once the protein folding can be predicted accurately along with how the ligands ...