Nature Communications (Jul 2021)

flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions

  • Gang Hu,
  • Akila Katuwawala,
  • Kui Wang,
  • Zhonghua Wu,
  • Sina Ghadermarzi,
  • Jianzhao Gao,
  • Lukasz Kurgan

DOI
https://doi.org/10.1038/s41467-021-24773-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

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The authors present flDPnn, a computational tool for disorder and disorder function predictions from protein sequences. flDPnn was assessed with the data from the “Critical Assessment of Protein Intrinsic Disorder Prediction” experiment and on an independent and low-similarity test dataset, which show that flDPnn offers accurate predictions of disorder, fully disordered proteins and four common disorder functions.