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FabG is a promising drug target due to its essentiality, high conservation in bacteria, and presence of a single isoform in many bacterial species.
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As experimental studies with the purpose of building a catalog of essential genes for a given organism are time-consuming and laborious, a computational approach which could predict gene essentiality with high accuracy would be of great value.
A computational approach that predicts gene essentiality with high accuracy is thus of great value.
It has been suggested that a simple explanation for the essentiality of high degree nodes is that they are more likely to interact with essential complexes and their removal breaks such complexes [ 126].
In addition to gene essentiality, a high gene expression rate has previously been shown to correlate with low sequence variation [ 18], and it was proposed that the underlying driving force for the slower evolution of essential genes is that most of the highly expressed genes are also generally indispensable.
Correlation between essentiality and higher connectivity for proteins in the interaction network is well known [ 24].
In order to identify those metabolic reactions obeying low flux variability and high essentiality we selected two threshold values.
Unfortunately, the knowledge on gene essentiality in other high animals is still very limited.
The gene still had a relatively high essentiality score within the adult-definitive lineage (S = 1.96), determined by the other properties contributing to the score estimate.
Analysis of complex forming versus noncomplex proteins demonstrates that proteins in complexes have higher essentiality than the noncomplex proteins (average essentiality of complex proteins: 0.1665 (±0.0045) (N = 867), noncomplex proteins: 0.1002 (±0.0014) (N = 3,348); Mann–Whitney U test, P = 1.1 × 10−).
Betweenness centrality metric is one of the significant indicators of network essentiality because proteins with high betweenness are essential for the functioning of the system by serving as a bridge of communication between several other proteins in the network [ 21].
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