Computational approaches, databases and tools for in silico motif discovery.
Motifs are the biologically significant fragments of nucleotide or peptide sequences in a specific pattern. Motifs are categorized as structural motifs and sequence motifs. These are discovered by phylogenetic studies of similar genes across species. Structural motifs are formed by three dimensional arrangements of amino acids consisting of two or more α helices or β strands whereas sequence motifs are formed by the nucleotide fragments appearing in the exons of a gene. The arrangement of residues in structural motifs may not be continuous while it is continuous in sequence motifs. Sequence motifs may encode to the structural motifs. The algorithms used for motif discovery are important part of the bio-computational studies. The purpose of motif discovery is to identify patterns in biopolymer (nucleotide or protein) sequences to understand the structure and function of the molecules and their evolutionary aspects. The main aim of this paper is to provide systematic compilation of a review on different approaches, databases and tools used in motif discovery.
Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi, India.
Tanmaya Kumar
TK
Sahu
A R
AR
Rao
Shuchi
S
Vasisht
Nishtha
N
Singh
U P
UP
Singh
D020816:Amino Acid Motifs; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D016208:Databases, Factual; D008958:Models, Molecular; D010802:Phylogeny; D017433:Protein Structure, Secondary; D013329:Structure-Activity Relationship