DISOPRED

The DISOPRED server for the prediction of protein disorder. Summary: Dynamically disordered regions appear to be relatively abundant in eukaryotic proteomes. The DISOPRED server allows users to submit a protein sequence, and returns a probability estimate of each residue in the sequence being disordered. The results are sent in both plain text and graphical formats, and the server can also supply predictions of secondary structure to provide further structural information. Availability: The server can be accessed by non-commercial users at http://bioinf.cs.ucl.ac.uk/disopred/

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References in zbMATH (referenced in 3 articles )

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  1. Tarafder, Sumit; Toukir Ahmed, Md.; Iqbal, Sumaiya; Tamjidul Hoque, Md; Sohel Rahman, M.: RBSURFpred: modeling protein accessible surface area in real and binary space using regularized and optimized regression (2018)
  2. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  3. Bulashevska, Alla; Eils, Roland: Using Bayesian multinomial classifier to predict whether a given protein sequence is intrinsically disordered (2008)