![]() ![]() Proteome-pI 2.0 - Proteome Isoelectric Point Database 2. ![]() Tweet Follow work was supported by Polish Ministry of Science and Higher Education (grant NN301 190139). ![]() 2012 May 24 13(1):111.Įxport reference: BibTeX RIS (EndNote, ProCite, RefMan) MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins. If you find MetaDisorder useful, please consider citing the reference that describes this work: If you have more than 100 sequences for prediction, please send me the fasta file via email and I will add them to queue. metadisordermd2 (variant of metadisordermd for which different scoring function was used during genetic algorithm optimization step).Again, genetic algorithm is used to optimize components integration. metadisordermd (combines two previous components into new meta method.Genetic algorithm is used to infer protein disorder using gaps in the alignments. metadisorder3d (this component uses fold recognition methods (PSI-BLAST, FFAS, HHsearch, Phyre, Pcons, MGenThreader) to find similar sequences.metadisorder (the weighted consensus is build using 13 primary disorder methods: DisEMBL (3 versions), DISOPRED2, DISpro, Globplot, iPDA, IUPred (2 versions), Pdisorder, Poodle-s, Poodle-l, PrDOS, Spritz (2 versions), and RONN), this component was tested during CASP8 on which it proves to be the best method.Metadisorder web service consists of four parts: Protein Isoelectric Point calculates the theoretical pI (isoelectric point) for the protein sequence you enter. It is a meta method which means that it tries to calculate "consensus" from results returned by other methods. Metadisorder is an online tool for prediction of protein disorder. Alternativelly, you can bookmark result page, it will be automatically refreshed. Link to results will be sent via email.Input should be in on letter amino acid code.All non-amino acid characters will be removed from the sequence.Metadisorder is one of the best predictors of protein disorder (evaluated during independent tests - CASP8 and CASP9)īefore running the method (it is quite expensive in case of time and resources) you may want to see exemplary graphical output or text output. (many key oncogens have large unstructured regions, e.g. The prediction of protein disorder is important as IUPs are connected with many diseases Multiple interactions with various proteins by the same disordered protein. The intrinsic flexibility of disorder allows to form Moreover, such unfolded proteins remain functional. Intrinsically unstructured proteins (IUPs) known also as unfolded proteins or disordered proteins are proteinsĬharacterized by lack of stable tertiary structure under physiological conditions. Prediction of Intrinsically Unstructured Proteins (protein disorder) from amino acid sequence only. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |