Functional Prediction of Snake Neurotoxins

Author

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

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

4

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

biology computing; learning (artificial intelligence); molecular biophysics; neurophysiology; statistical analysis; toxicology; functional prediction; nearest neighbour approach; pharmacological research; snake neurotoxins; statistical machine learning method; systematic functional analysis; Aerospace engineering; Alzheimer´s disease; Amino acids; Food technology; Functional analysis; Muscles; Nervous system; Neuromuscular; Peptides; Sequences; Prediction; Snake neurotoxins; nearest neighbour;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345470

Filename

4150399