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The fold to which a domain belongs is determined by inspection, rather than by software. The levels of SCOP version 1.75 are as follows. Class: Types of folds, e.g., beta sheets. Fold: The different shapes of domains within a class. Superfamily: The domains in a fold are grouped into superfamilies, which have at least a distant common ancestor.
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]
In molecular biology, protein fold classes are broad categories of protein tertiary structure topology. They describe groups of proteins that share similar amino acid and secondary structure proportions. Each class contains multiple, independent protein superfamilies (i.e. are not necessarily evolutionarily related to one another). [1] [2] [3]
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]
An alpha-helix with hydrogen bonds (yellow dots) The α-helix is the most abundant type of secondary structure in proteins. The α-helix has 3.6 amino acids per turn with an H-bond formed between every fourth residue; the average length is 10 amino acids (3 turns) or 10 Å but varies from 5 to 40 (1.5 to 11 turns).
Ribbon diagrams are simple yet powerful, expressing the visual basics of a molecular structure (twist, fold and unfold). This method has successfully portrayed the overall organization of protein structures, reflecting their three-dimensional nature and allowing better understanding of these complex objects both by expert structural biologists ...
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