hybridPBRpred

The software tool "hybridPBRpred" addresses challenges in predicting protein-binding residues (PBRs) by reconciling the dichotomy between structure-trained and disorder-trained predictors. Existing predictors often struggle to cross-over accurately between structure- and disorder-annotated proteins. The study evaluates several predictors and identifies SCRIBER, ANCHOR, and disoRDPbind as accurate ones.

hybridPBRpred aims to provide a comprehensive and accurate prediction of protein-binding residues by leveraging the complementary strengths of predictors trained on structured complexes and disordered proteins.

Topic

Protein disordered structure;Structure prediction;Protein interactions

Detail

  • Operation: Protein disorder prediction;Protein structure prediction;Protein secondary structure prediction;Residue contact prediction

  • Software interface: Web user interface

  • Language: -

  • License: -

  • Cost: -

  • Version name: -

  • Credit: The National Science Foundation, the Robert J. Mattauch Endowment funds, the National Natural Science Foundation of China, the Innovation Team Support Plan of University Science and Technology of Henan Province, the Nanhu Scholars Program for Young Scholars of the Xinyang Normal University.

  • Input: -

  • Output: -

  • Contact: Lukasz Kurgan lkurgan@vcu.edu

  • Collection: -

  • Maturity: -

Publications

  • Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins.
  • Zhang J, et al. Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins. Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins. 2020; 36:4729-4738. doi: 10.1093/bioinformatics/btaa573
  • https://doi.org/10.1093/BIOINFORMATICS/BTAA573
  • PMID: 32860044
  • PMC: -

Download and documentation

    Currently not available or not maintained.

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