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Ribbon diagrams, also known as Richardson diagrams, are 3D schematic representations of protein structure and are one of the most common methods of protein depiction used today. The ribbon depicts the general course and organisation of the protein backbone in 3D and serves as a visual framework for hanging details of the entire atomic structure ...
At the top level are all alpha proteins (domains consisting of alpha helices), all beta proteins (domains consisting of beta sheets), and mixed alpha helix/beta sheet proteins. While most proteins adopt a single stable fold, a few proteins can rapidly interconvert between one or more folds. These are referred to as metamorphic proteins. [5]
Included for each food is its weight in grams, its calories, and (also in grams,) the amount of protein, carbohydrates, dietary fiber, fat, and saturated fat. [1] As foods vary by brands and stores, the figures should only be considered estimates, with more exact figures often included on product labels.
Fat has a food energy content of 38 kilojoules per gram (9 kilocalories per gram) proteins and carbohydrates 17 kJ/g (4 kcal/g). [2] Water makes up a large proportion of the total mass ingested as part of a normal diet but it does not provide any nutritional value.
This template is intended for use on protein structure pages. To insert, use {{Protein structure}}. On the primary, secondary, tertiary and quaternary structure pages, it displays alternative versions of the image with the relevant section highlighted. Alternatively, for the non-interactive image, use [[File:Protein structure (full)-en.svg]]
Natural protein concentrates (often used in bodybuilding or as sports dietary supplements): Soy protein isolate (prepared with sodium or potassium): 80.66; Whey protein isolate: 79; Egg white, dried: 81.1; Spirulina alga, dried: 57.45 (more often quoted as 55 to 77) Baker's yeast: 38.33; Hemp husks 30
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The generation of a protein sequence is much easier than the determination of a protein structure. However, the structure of a protein gives much more insight in the function of the protein than its sequence. Therefore, a number of methods for the computational prediction of protein structure from its sequence have been developed. [39]