Multiple Sequence Alignment and Profile  Analysis of Protein Family Utsing Hidden  Markov Model

Navjot Kaur; Rajbir Singh Cheema; Harmandeep Singh

Volume : II, Issue : VI, June - 2013

Multiple Sequence Alignment and Profile Analysis of Protein Family Utsing Hidden Markov Model

Navjot Kaur, Rajbir Singh Cheema, Harmandeep Singh

Abstract :

Bioinformatics is the field of managing, mining and interpreting from biological sequences and structures. It act as an interface between biological and computational sciences. This scientific field deals with the management of all kind of biological information. This information is on proteins and their products, whole organisms. Proteins are complex organic compounds that consist of amino acids joined by peptide bonds. Proteins are essential to the structure and function of all living cells and viruses. Proteins are high molecular weight compounds composing of alpha-amino acids linked through amide formation between the carboxyl group of one acid and alpha-amino group of the next. Sequence alignment is the way of arranging the primary sequences of Proteins to identify regions of similarity that may be a consequence of functional, structural or evolutionary relationships between the sequences. In protein sequences alignment, the degree of similarity between amino acids occupying a particular position in the sequence can be interpreted as a rough measure of how conserved a particular region is among lineages. It also helps to find acceptable substitution for amino acids in a protein signature.