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Showing 1–2 of 2 results
Advanced filters: Author: Sina Ghadermarzi Clear advanced filters
  • 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.

    • Gang Hu
    • Akila Katuwawala
    • Lukasz Kurgan
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-8
  • This Tutorial provides guide for how to evaluate, select and use publicly available computational tools for predicting intrinsic disorder in proteins, with a focus on performance and ease of use results, exemplified using results from the Critical Assessment of protein Intrinsic Disorder prediction experiment.

    • Lukasz Kurgan
    • Gang Hu
    • Zsuzsanna Dosztányi
    Reviews
    Nature Protocols
    Volume: 18, P: 3157-3172