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  2. Diacylglycerol lipase - Wikipedia

    en.wikipedia.org/wiki/Diacylglycerol_lipase

    [1] [13] 2-AG is the most abundant endocannabinoid found in tissues [1] and activates the CB1 and CB2 G-protein-coupled receptors. [6] Endocannabinoid signaling via these receptors is involved in core body temperature control , inflammation , appetite promotion , memory formation , mood and anxiety regulation, pain relief , addiction reward ...

  3. Protein folding - Wikipedia

    en.wikipedia.org/wiki/Protein_folding

    Protein before and after folding Results of protein folding. Protein folding is the physical process by which a protein, after synthesis by a ribosome as a linear chain of amino acids, changes from an unstable random coil into a more ordered three-dimensional structure. This structure permits the protein to become biologically functional. [1]

  4. AlphaFold - Wikipedia

    en.wikipedia.org/wiki/AlphaFold

    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 that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. [2]

  5. Predicted Aligned Error - Wikipedia

    en.wikipedia.org/wiki/Predicted_Aligned_Error

    Interpretation of PAE values allows scientists to understand the level of confidence in the predicted structure of a protein: Lower PAE values between residue pairs from different domains indicate that the model predicts well-defined relative positions and orientations for those domains.

  6. Protein fold class - Wikipedia

    en.wikipedia.org/wiki/Protein_fold_class

    Numerous protein structures are the result of rational design and do not exist in nature. Proteins can be designed from scratch (de novo design) or by making calculated variations on a known protein structure and its sequence (known as protein redesign). Rational protein design approaches make protein-sequence predictions that will fold to ...

  7. Folding@home - Wikipedia

    en.wikipedia.org/wiki/Folding@home

    This is advantageous in studying aspects of folding, misfolding, and their relationships to disease that are difficult to observe experimentally. For example, in 2011, Folding@home simulated protein folding inside a ribosomal exit tunnel, to help scientists better understand how natural confinement and crowding might influence the folding process.

  8. List of disorder prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_disorder...

    Predict the protein intrinsic disorder regions, degree of disorder as well as folding patterns. Based on five amino acids, the folding variations along sequence are presented by Protein Folding Shape Code (PFSC) in Protein Folding Variation Matrix (PFVM). No Yes, Login=public; Password=public; select “Prediction” SPOT-Disorder2 [3] 2020

  9. Folding funnel - Wikipedia

    en.wikipedia.org/wiki/Folding_funnel

    The folding funnel hypothesis is closely related to the hydrophobic collapse hypothesis, under which the driving force for protein folding is the stabilization associated with the sequestration of hydrophobic amino acid side chains in the interior of the folded protein. This allows the water solvent to maximize its entropy, lowering the total ...