Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
Simone Maria-Neto
Brazil
Research Article
Screening and Functional Prediction of Conserved Hypothetical Proteins
from Escherichia coli
Author(s): William F Porto, Simone Maria-Neto, Diego O Nolasco and Octavio L FrancoWilliam F Porto, Simone Maria-Neto, Diego O Nolasco and Octavio L Franco
Protein structures can provide some functional evidences. Therefore structural genomics efforts to identify the functions of hypothetical proteins have brought advances in our understanding of biological systems. To this end, a new strategy to mine protein databases in the search for candidates for function prediction was here described. The strategy was applied to Escherichia coli proteins deposited in the NCBI’s non-redundant database. Briefly, data mining selects small conserved hypothetical proteins without significant templates on Protein Data Bank, without transmembrane regions and with similarity to Eukaryote proteins. Through this strategy, 12 protein sequences were selected for molecular modelling, from a total of 13,306 E. coli's conserved hypothetical sequences. From these, only three sequences could be modelled. GI 488361128 model was similar to cupredoxins, GI 28117.. View More»
DOI:
10.4172/jpb.1000321