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Fig. 5 | BMC Bioinformatics

Fig. 5

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. 5

Schematic representation of a metabolic hole and candidate protein set. The figure shows a an unknown protein (?) surrounded by known neighbors n1–n6 and b a set of candidate proteins from the target organism which is its entire proteome except for the known neighboring proteins. For each neighbor, we find its interaction with all the candidate proteins. If protein P1 has an interaction score with n1, n2, and n4, then we combine these scores in a naive Bayes manner using Bayesian score integration as shown in the equation (see "Methods" ). All the candidate proteins with their respective scores are then sorted and the one with the highest score qualifies to perform the desired function

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