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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Implementation of homology based and non-homology based computational methods for the identification and annotation of orphan enzymes: using Mycobacterium tuberculosis H37Rv as a case study

Fig. 6

Comparison of the self-rank thresholds after in-silico enzyme knockouts. a The figure shows the performance of the ‘Hole Filling protocol’ on the E. coli genome (shown in the blue-colored curve) where the combined scores of functional associations from STRING were used to get the new functional association score. *Reference values for individual and combined association scores were digitized from Fig. 4 of Kharchenko et al. [28] for comparison. b Similar knockouts were performed for all the metabolic proteins from eight other genomes, Saccharomyces cerevisiae (sce), Dictyostelium discoideum (ddi), Arabidopsis thaliana (ath), Drosophila melanogaster (dme), Danio rerio (dre), Salmonella enterica (sen), Shigella flexneri (sfl) and Vibrio cholerae (vch)

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BMC Bioinformatics

ISSN: 1471-2105

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