IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content. Summary: Intrinsically unstructured/disordered proteins and domains (IUPs) lack a well-defined three-dimensional structure under native conditions. The IUPred server presents a novel algorithm for predicting such regions from amino acid sequences by estimating their total pairwise interresidue interaction energy, based on the assumption that IUP sequences do not fold due to their inability to form sufficient stabilizing interresidue interactions. Optional to the prediction are built-in parameter sets optimized for predicting short or long disordered regions and structured domains. Availability: The IUPred server is available for academic users at http://iupred.enzim.hu

References in zbMATH (referenced in 8 articles )

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  1. He, Hao; Zhao, Jiaxiang; Sun, Guiling: The prediction of intrinsically disordered proteins based on feature selection (2019)
  2. Małysiak-Mrozek, Bożena: Uncertainty, imprecision, and many-valued logics in protein bioinformatics (2019)
  3. He, Hao; Zhao, Jiaxiang: A low computational complexity scheme for the prediction of intrinsically disordered protein regions (2018)
  4. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  5. Davey, Norman E.; Edwards, Richard J.; Shields, Denis C.: Estimation and efficient computation of the true probability of recurrence of short linear protein sequence motifs in unrelated proteins (2010) ioport
  6. Deiana, Antonio; Giansanti, Andrea: Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in generic datasets (2010) ioport
  7. Rangwala, Huzefa; Kauffman, Christopher; Karypis, George: \textitsvmprat: SVM-based protein residue annotation toolkit (2009) ioport
  8. Bulashevska, Alla; Eils, Roland: Using Bayesian multinomial classifier to predict whether a given protein sequence is intrinsically disordered (2008)