Enhanced functional and structural domain assignments using remote similarity detection procedures for proteins encoded in the genome of Mycobacterium tuberculosis H37Rv

Namboori, Seema ; Mhatre, Natasha ; Sujatha, Sentivel ; Srinivasan, Narayanaswamy ; Pandit, Shashi Bhushan (2004) Enhanced functional and structural domain assignments using remote similarity detection procedures for proteins encoded in the genome of Mycobacterium tuberculosis H37Rv Journal of Biosciences, 29 (3). pp. 245-259. ISSN 0250-5991

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Official URL: http://www.ias.ac.in/jbiosci/sep2004/245.pdf

Related URL: http://dx.doi.org/10.1007/BF02702607

Abstract

The sequencing of theMycobacterium tuberculosis (MTB) H37Rv genome has facilitated deeper insights into the biology of MTB, yet the functions of many MTB proteins are unknown. We have used sensitive profile-based search procedures to assign functional and structural domains to infer functions of gene products encoded in MTB. These domain assignments have been made using a compendium of sequence and structural domain families. Functions are predicted for 78% of the encoded gene products. For 69% of these, functions can be inferred by domain assignments. The functions for the rest are deduced from their homology to proteins of known function. Superfamily relationships between families of unknown and known structures have increased structural information by ~11%. Remote similarity detection methods have enabled domain assignments for 1325 'hypothetical proteins'. The most populated families in MTB are involved in lipid metabolism, entry and survival of the bacillus in host. Interestingly, for 353 proteins, which we refer to as MTB-specific, no homologues have been identified. Numerous, previously unannotated, hypothetical proteins have been assigned domains and some of these could perhaps be the possible chemotherapeutic targets. MTB-specific proteins might include factors responsible for virulence. Importantly, these assignments could be valuable for experimental endeavors.

Item Type:Article
Source:Copyright of this article belongs to Indian Academy of Sciences.
Keywords:Genome Data Analysis; Hypothetical Proteins; Mycobacterium Tuberculosis; Protein Structures; Structural And Functional Domains
ID Code:62646
Deposited On:22 Sep 2011 02:40
Last Modified:18 May 2016 11:49

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