2021
DOI: 10.1093/bioinformatics/btaa1103
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Network approach to mutagenesis sheds insight on phage resistance in mycobacteria

Abstract: Motivation A rigorous yet general mathematical approach to mutagenesis, especially one capable of delivering systems-level perspectives would be invaluable. Such systems-level understanding of phage resistance is also highly desirable for phage-bacteria interactions and phage therapy research. Independently, the ability to distinguish between two graphs with a set of common or identical nodes and identify the implications thereof, is important in network science. … Show more

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Cited by 7 publications
(9 citation statements)
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“…To understand the impact of GIV deletion, a similar network was prepared, except without GIV. The shortest path alteration fraction (Sinha et al , 2021 ) associated with Arf1 was calculated using differential shortest path analysis of the original and GIV‐depleted PPI network. Here only the paths having shortest path alteration fraction 1 were considered which indicated only the deleted or newly added shortest paths due to GIV deletion.…”
Section: Methodsmentioning
confidence: 99%
“…To understand the impact of GIV deletion, a similar network was prepared, except without GIV. The shortest path alteration fraction (Sinha et al , 2021 ) associated with Arf1 was calculated using differential shortest path analysis of the original and GIV‐depleted PPI network. Here only the paths having shortest path alteration fraction 1 were considered which indicated only the deleted or newly added shortest paths due to GIV deletion.…”
Section: Methodsmentioning
confidence: 99%
“…The effect of perturbation on the protein-protein interaction network was calculated using node and edge-based centrality measurements. For each of the perturbations, changes in the centrality metrics were calculated using deference in the z score for rest of the nodes and edges to estimate the topological effect (Banerjee et al 2015; Sinha et al 2021) .…”
Section: Detailed Methodsmentioning
confidence: 99%
“…For each of the perturbations, changes in the centrality metrics were calculated using deference in the z score for rest of the nodes and edges to estimate the topological effect (Banerjee et al 2015;Sinha et al 2021).…”
Section: Protein-protein Interaction Network (Ppin) Construction and ...mentioning
confidence: 99%
“…The list of proteins ( Dataset EV1 ) was used as ‘seed’ to generate the Golgi-specific Arf1-GIV network by fetching other connecting interactions and proteins from STRING database (Franceschini et al, 2013). The shortest path NetworkX algorithm (Sinha et al, 2021) was used to trace the connected proteins and interactions in between every possible pair of protein from the above-mentioned list. Highest possible interaction cutoff score was used to avoid false positive interactions.…”
Section: Methods and Protocolsmentioning
confidence: 99%
“…To understand the impact of GIV deletion, a similar network was prepared, except without GIV. Shortest path alteration fraction (Sinha et al, 2021) associated with Arf1 was calculated using differential shortest path analysis of the original and GIV-depleted PPI network. Here only the paths having shortest path alteration fraction 1, were considered which indicated only the deleted or newly added shortest paths due to GIV deletion.…”
Section: Methods and Protocolsmentioning
confidence: 99%