Journal of Computational Intelligence in Bioinformatics
  • Year: 2009
  • Volume: 2
  • Issue: 3

Pattern Recognition in Proteins Based on Carbon Content

  • Author:
  • Veerasamy Jayaraj1,2, Marimuthu Vijayasarathy1, Rajendran Geerthana1, Renganathan Senthil1, Ekambaram Rajasekaran1
  • Total Page Count: 4
  • Page Number: 99 to 102

1Department of Biotechnology, Periyar Maniammai University, Thanjavur - 613403, Tamil Nadu, India.

2Department of Computer Application, Periyar Maniammai University, Thanjavur - 613403, Tamil Nadu, India.

Abstract

A novel pattern based on carbon content is reported here. The principle behind this pattern is that proteins prefer to have 31.44% of carbon in its structure for stability. A stretch of sequence that has this prescribed carbon content is considered as a pattern. The smallest pattern identified is 7 residues length that contain 50 carbon and 159 total atoms. Patterns with same number of carbon and total atoms are found in different lengths and sequence. The 3D structures of these patterns are evaluated. The patterns prefer to be in folded and compact 3D structure. These patterns in protein are vital for understanding the proteins stability and for sequence alignment. This newly identified pattern encourages a new way of sequence comparison at atomic level. This is because of patterns of same atomic profile differs in sequence and length.

Keywords

Carbon content, Patterns, Sequence analysis, Protein stability, Protein comparison