Title

Authors

Affiliation

Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector-62, Noida, Uttar Pradesh, India

Email

ckj522@yahoo.com; *Corresponding author

Article Type

Hypothesis

Date

Received July 26, 2011; Accepted July 30, 2011; Published August 20, 2011

Invasive fungal opportunistic infections or mycoses have been on the rise with increase in the number of immuno-compromised patients accounting for associated high morbidity and mortality rates. The antifungal drugs are not completely effective due to increased resistance and varied susceptibility of fungi. Hence, the functional diversification study of novel targets has to be carried out. The enzyme glucosamine-6-phosphate synthase [EC 2.6.1.16], a novel drug target, catalyzes the rate-limiting step of the fungal cell-wall biosynthetic pathway, comprising four conserved domains, two glutaminase and sugar-isomerising (SIS) domains with active site. The amino acids within these domains tend to mutate simultaneously and exert mutual selective forces which might result in untoward fungal adaptations that are fixed through random genetic drift over time. The current study is an attempt to investigate such ‘non-independent’ coevolving residues which play critical functional and structural role in the protein. Residues with Shannon entropy <=1 (calculated by the Protein Variability Server) were considered and subsequently, positional correlations were estimated by InterMap3D 1.3 server. It was observed that majority of coevolving pairs of first SIS domain involved interactions with hydrophobic leucine and found to be spatially coupled in 3-dimensional structure of the enzyme. The coevolving groups of Aspergillus niger and Rhizopus oryzae species might play a role in drug resistance. Such coevolutionary analysis is important for understanding the receptor-ligand interactions and effective drug designing.

Keywords

Glucosamine-6-phosphate synthase, mycoses, Shannon entropy, coevolution, entropy dependency

Citation

Banerjee et al. Bioinformation 7(1): 5-8 (2011)
 

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.