@inproceedings{2c13b1f847464133937f9fa84b451655,
title = "Functional prediction of snake neurotoxins",
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.",
keywords = "Nearest neighbour, Prediction, Snake neurotoxins",
author = "Seah, {Seng Hong} and Kwoh, {Chee Keong} and Vladimir Brusic and Sakharkar, {Meena Kishore} and Ng, {Geok See}",
year = "2006",
doi = "10.1109/ICARCV.2006.345470",
language = "English",
isbn = "1424403421",
series = "9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06",
booktitle = "9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06",
note = "9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 ; Conference date: 05-12-2006 Through 08-12-2006",
}