Title :
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
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;
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
DOI :
10.1109/ICARCV.2006.345470
