BUSCA

BUSCA (Bologna Unified Subcellular Component Annotator) is a web-based resource to predict subcellular localization proteins. The BUSCA resource uses five different software tools to predict features that are related to protein localization: 1. TPpred3, 2. BetAware, 3. DeepSig, 4. ENSEMBLE3.0, and 5. PredGPI. In addition, BUSCA uses MemLoci, BaCelLo, and SChloro to discriminate globular and membrane proteins.

Topic

Computational biology;Protein sites, features and motifs;Protein properties

Detail

  • Operation: Protein subcellular localisation prediction;Transmembrane protein prediction;Protein feature detection;Protein signal peptide detection

  • Software interface: Web user interface

  • Language: -

  • License: -

  • Cost: Free

  • Version name: -

  • Credit: European Union RTD Framework Program, University of Bologna.

  • Input: FASTA

  • Output: -

  • Contact: Castrense Savojardo castrense.savojardo2@unibo.it, Castrense Savojardo castrense.savojardo2@unibo.it, Pier Luigi Martelli pierluigi.martelli@unibo.it

  • Collection: -

  • Maturity: Mature

Publications

  • An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins
  • Martelli PL, Fariselli P, Casadio R. An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins. Bioinformatics. 2003;19 Suppl 1:i205-11. doi: 10.1093/bioinformatics/btg1027. PMID: 12855459.
  • https://doi.org/10.1093/bioinformatics/btg1027
  • PMID: 12855459
  • PMC: -
  • BUSCA: an integrative web server to predict subcellular localization of proteins.
  • Savojardo C, et al. BUSCA: an integrative web server to predict subcellular localization of proteins. BUSCA: an integrative web server to predict subcellular localization of proteins. 2018; 46:W459-W466. doi: 10.1093/nar/gky320
  • https://doi.org/10.1093/nar/gky320
  • PMID: 29718411
  • PMC: PMC6031068

Download and documentation

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