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Protein Structure Prediction Protein Structure Prediction

Bioinformatic Tools are able to predict a protein's structure either in 2-dimensions (2-D) or three-dimensions (3-D). Bioinformatic Tools er i stand til at forudsige et protein struktur enten i 2-dimensioner (2-D) eller tre dimensioner (3-D). This may not be a real representation of the actual structure of a protein, however it is a good starting point to predict enzymatic pockets, and protein-protein interaction domains. Dette kan ikke være en reel repræsentation af de faktiske struktur af et protein, men det er et godt udgangspunkt at forudsige enzymatisk lommer, og protein-protein interaktion domæner. After prediction, confirmation of protein structure can be made using X-ray Crystallography techniques. Efter forudsigelse, bekræftelse af protein struktur kan gøres ved hjælp af X-ray Crystallography teknikker.

Bioinformatic Programs Used to Predict Secondary Structure: Bioinformatic programmer, som anvendes til at forudsige sekundær struktur:

(Please see our Protein Structure Prediction Bioinformatic Tools Database for 2-D prediction; (Se vores Protein Structure Prediction Bioinformatic Tools Database for 2-D forudsigelse;

and Protein Structure Prediction Bioinformatic Tools Database for 3-D prediction. ; and our database for Retrieving Protein Structure Data from 3-Dimensional Databases. og Protein Structure Prediction Bioinformatic Tools Database for 3-D forudsigelse.; og vores database for Henter Protein Structure Data fra 3-dimensionelle Databaser.

Experimental data can be used to help in prediction protein structure. Eksperimentelle data kan bruges til at hjælpe med forudsigelse protein struktur. The following are experiments that can help in protein structure analysis: Følgende er eksperimenter, der kan hjælpe med protein struktur analyse:

- Localization of disulphide bonds (provide tight restraints on the location of cysteines in space) -- Lokalisering af disulphide obligationer (levere stramme begrænsninger på placeringen af cysteines i rummet)

- Spectroscopy data which can give clues to the secondary structure composition of your protein of interest -- Spektroskopi data, som kan give fingerpeg til den sekundære struktur sammensætningen af din protein af interesse

- Site directed mutagenesis experiments, (substituting Alanine A Ala for various amino acids and then checking function of the protein) which can give important insight to the residues which are important in the active site of an enzyme or protein-protein interacting binding sites or domains. -- Site dirigeret mutagenese eksperimenter, (substituere Alanin A Ala for forskellige aminosyrer og derefter kontrollere funktionen af de proteiner), som kan give vigtig indsigt til restkoncentrationer, som er vigtige i det aktive site af et enzym eller protein-protein interagere bindende websteder eller domæner .

- Obtain experimental data of post-translational modifictions (eg phosphorylation and glycosylation sites can suggest residues that must be externally accessible and thus may be surface residues) -- Indhent eksperimentelle data af post-translationel modifictions (f.eks fosforylering og glycosylation sites kan foreslå rester, der skal være eksternt tilgængelig og dermed kan være overflade restkoncentrationer)

- Proteolytic Cleavage sites. -- Proteolytiske cleavage sites.

Keeping this data in mind when conducting prediction of protein structure is important, as this is structural data that has been proved experimentally.0 At holde disse data i tankerne, når der udføres forudsigelse af protein struktur er vigtig, da dette er strukturelle data, der er blevet vist experimentally.0

Question whether structure predictions agree with experimental results. Spørgsmål om strukturen forudsigelser enig med eksperimentelle resultater. This can test the validity of the predicted protein structures. Dette kan afprøve gyldigheden af den forventede protein strukturer.