@article{(Open Science Index):https://publications.waset.org/pdf/8901,
	  title     = {Protein Residue Contact Prediction using Support Vector Machine},
	  author    = {Chan Weng Howe and  Mohd Saberi Mohamad},
	  country	= {},
	  institution	= {},
	  abstract     = {Protein residue contact map is a compact
representation of secondary structure of protein. Due to the
information hold in the contact map, attentions from researchers in
related field were drawn and plenty of works have been done
throughout the past decade. Artificial intelligence approaches have
been widely adapted in related works such as neural networks,
genetic programming, and Hidden Markov model as well as support
vector machine. However, the performance of the prediction was not
generalized which probably depends on the data used to train and
generate the prediction model. This situation shown the importance
of the features or information used in affecting the prediction
performance. In this research, support vector machine was used to
predict protein residue contact map on different combination of
features in order to show and analyze the effectiveness of the
	    journal   = {International Journal of Biotechnology and Bioengineering},
	  volume    = {5},
	  number    = {12},
	  year      = {2011},
	  pages     = {923 - 928},
	  ee        = {https://publications.waset.org/pdf/8901},
	  url   	= {https://publications.waset.org/vol/60},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 60, 2011},