Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach.
The genome of Mycobacterium tuberculosis was analyzed using recently developed computational approaches to infer protein function and protein linkages. We evaluated and employed a method to infer genes likely to belong to the same operon, as judged by the nucleotide distance between genes in the same genomic orientation, and combined this method with those of the Rosetta Stone, Phylogenetic Profile and conserved Gene Neighbor computational methods for the inference of protein function.
Strong
Michael
M
Howard Hughes Medical Institute, UCLA-DOE Institute for Genomics and Proteomics, University of California, Los Angeles, Los Angeles, CA 90095-1570, USA. david@mbi.ucla.edu
Mallick
Parag
P
Pellegrini
Matteo
M
Thompson
Michael J
MJ
Eisenberg
David
D
D001426:Bacterial Proteins / Q000235:genetics* / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D017124:Conserved Sequence / Q000235:genetics; D005685:Galactans / Q000096:biosynthesis; D005798:Genes, Bacterial / Q000235:genetics; D008040:Genetic Linkage; D016680:Genome, Bacterial; D005974:Glutamate-Ammonia Ligase / Q000235:genetics; D009169:Mycobacterium tuberculosis / Q000235:genetics* / Q000378:metabolism; D009876:Operon / Q000235:genetics; D010802:Phylogeny
D001426:Bacterial Proteins; D005685:Galactans; D005974:Glutamate-Ammonia Ligase; C005653:arabinogalactan