Accurate prediction of scorpion toxin functional properties from primary structures

Paul T.J. Tan, K. N. Srinivasan, Seng Hong Seah, Judice L.Y. Koh, Tin Wee Tan, Shoba Ranganathan, Vladimir Brusic

Research output: Journal PublicationArticlepeer-review

14 Citations (Scopus)


Scorpion toxins are common experimental tools for studies of biochemical and pharmacological properties of ion channels. The number of functionally annotated scorpion toxins is steadily growing, but the number of identified toxin sequences is increasing at much faster pace. With an estimated 100,000 different variants, bioinformatic analysis of scorpion toxins is becoming a necessary tool for their systematic functional analysis. Here, we report a bioinformatics-driven system involving scorpion toxin structural classification, functional annotation, database technology, sequence comparison, nearest neighbour analysis, and decision rules which produces highly accurate predictions of scorpion toxin functional properties.

Original languageEnglish
Pages (from-to)17-24
Number of pages8
JournalJournal of Molecular Graphics and Modelling
Issue number1
Publication statusPublished - Sept 2005
Externally publishedYes


  • Prediction systems
  • Protein classification
  • Protein function
  • Structure-function relationship

ASJC Scopus subject areas

  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Computer Graphics and Computer-Aided Design
  • Materials Chemistry


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