International Journal of Molecular Sciences | |
Function Prediction and Analysis of |
|
Gaston K. Mazandu1  | |
[1] Computational Biology Group, Department of Clinical Laboratory Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town 7925, South Africa; E-Mail | |
关键词: hypothetical protein; tuberculosis; genome analysis; function prediction; interaction network; | |
DOI : 10.3390/ijms13067283 | |
来源: mdpi | |
【 摘 要 】
High-throughput biology technologies have yielded complete genome sequences and functional genomics data for several organisms, including crucial microbial pathogens of humans, animals and plants. However, up to 50% of genes within a genome are often labeled “unknown”, “uncharacterized” or “hypothetical”, limiting our understanding of virulence and pathogenicity of these organisms. Even though biological functions of proteins encoded by these genes are not known, many of them have been predicted to be involved in key processes in these organisms. In particular, for
【 授权许可】
CC BY
© 2012 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
【 预 览 】
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RO202003190043783ZK.pdf | 656KB | download |