Functional prediction of snake neurotoxins

Seng Hong Seah, Chee Keong Kwoh, Vladimir Brusic, Meena Kishore Sakharkar, Geok See Ng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Snake neurotoxins are important experimental tool in pharmacological research. Over the years, the number of snake neurotoxin sequences identified is increasing at a very fast pace. However, only a small portion of them are experimentally characterized from more than 200,000 variants estimated to exist in nature. In this paper, we report a systematic functional analysis on snake neurotoxins using a statistical machine learning method - nearest neighbour approach for functional prediction together with a set of rules. Based on this method we built a highly accurate functional prediction tool for putative annotation for snake neurotoxins.

Original languageEnglish
Title of host publication9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs
Publication statusPublished - Dec 1 2006
Event9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore
Duration: Dec 5 2006Dec 8 2006

Publication series

Name9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Other

Other9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
CountrySingapore
CitySingapore
Period12/5/0612/8/06

    Fingerprint

Keywords

  • Nearest neighbour
  • Prediction
  • Snake neurotoxins

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Cite this

Seah, S. H., Kwoh, C. K., Brusic, V., Sakharkar, M. K., & Ng, G. S. (2006). Functional prediction of snake neurotoxins. In 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 [4150399] (9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06). https://doi.org/10.1109/ICARCV.2006.345470