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|Title:||Influence of protein structural similarities in adding value to genome data|
|Keywords:||database searching;homology detection;protein evolution;protein structures;sequence analysis|
|IPC Code:||Int. Cl.7 G 01 N 33/00|
|Abstract:||One of the central problems in post-genomic era is the understanding of function of myriad of putative gene products suggested by the genome sequencing projects. Computational approaches aimed at establishing the relationships between proteins, purely on the basis of their amino acid sequences, provide a rapid and useful first step. Sequence analysis methods, which use evolutionary information on protein families perform well in terms of detecting remote homologues. Use of three-dimensional (3-D) structures provides a further edge in detecting distantly related proteins as 3-D structures are conserved better than the amino acid sequences. Also, in many cases, similarity in the fold of proteins corresponds to gross similarity in functions. Hence, knowledge of 3-D structures has profound influence in identifying the functions of newly discovered gene products. This review covers recent developments in this area of homology detection and its influence in computational genomics.|
|ISSN:||0975-0967 (Online); 0972-5849 (Print)|
|Appears in Collections:||IJBT Vol.03(4) [October 2004]|
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