Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Int. J. Mol. Sci. 2014, 15(7), 12940-12951; doi:10.3390/ijms150712940
Article

Identifying the Subfamilies of Voltage-Gated Potassium Channels Using Feature Selection Technique

1
, 1
, 2
 and 1,*
Received: 10 June 2014; in revised form: 13 July 2014 / Accepted: 14 July 2014 / Published: 22 July 2014
(This article belongs to the collection Advances in Proteomic Research)
View Full-Text   |   Download PDF [957 KB, uploaded 22 July 2014]
Abstract: Voltage-gated K+ channel (VKC) plays important roles in biology procession, especially in nervous system. Different subfamilies of VKCs have different biological functions. Thus, knowing VKCs’ subfamilies has become a meaningful job because it can guide the direction for the disease diagnosis and drug design. However, the traditional wet-experimental methods were costly and time-consuming. It is highly desirable to develop an effective and powerful computational tool for identifying different subfamilies of VKCs. In this study, a predictor, called iVKC-OTC, has been developed by incorporating the optimized tripeptide composition (OTC) generated by feature selection technique into the general form of pseudo-amino acid composition to identify six subfamilies of VKCs. One of the remarkable advantages of introducing the optimized tripeptide composition is being able to avoid the notorious dimension disaster or over fitting problems in statistical predictions. It was observed on a benchmark dataset, by using a jackknife test, that the overall accuracy achieved by iVKC-OTC reaches to 96.77% in identifying the six subfamilies of VKCs, indicating that the new predictor is promising or at least may become a complementary tool to the existing methods in this area. It has not escaped our notice that the optimized tripeptide composition can also be used to investigate other protein classification problems.
Keywords: voltage-gated potassium channel; subfamily; optimized tripeptide composition; support vector machine; feature selection voltage-gated potassium channel; subfamily; optimized tripeptide composition; support vector machine; feature selection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Liu, W.-X.; Deng, E.-Z.; Chen, W.; Lin, H. Identifying the Subfamilies of Voltage-Gated Potassium Channels Using Feature Selection Technique. Int. J. Mol. Sci. 2014, 15, 12940-12951.

AMA Style

Liu W-X, Deng E-Z, Chen W, Lin H. Identifying the Subfamilies of Voltage-Gated Potassium Channels Using Feature Selection Technique. International Journal of Molecular Sciences. 2014; 15(7):12940-12951.

Chicago/Turabian Style

Liu, Wei-Xin; Deng, En-Ze; Chen, Wei; Lin, Hao. 2014. "Identifying the Subfamilies of Voltage-Gated Potassium Channels Using Feature Selection Technique." Int. J. Mol. Sci. 15, no. 7: 12940-12951.


Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert