Selected article for: "disease propagation and human network"
Author: Sovan Saha; Piyali Chatterjee; Subhadip Basu; Mita Nasipuri
Title: Detection of spreader nodes and ranking of interacting edges in Human-SARS-CoV protein interaction network
  • Document date: 2020_4_14
    • ID: 5jccb3nh_52
    Snippet: In a nutshell, it can be said that the proposed work exploits the possibility of understanding the entire disease propagation/transmission from SARS-CoV network to human network. It should be borne in mind that SARS-CoV 2 is ~89% genetically similar to its predecessor SARS-CoV [34] , [35] . It strongly reveals the fact that the human proteins chosen as spreaders of SARS-CoV might be the potential targets of SARS-CoV 2 also. If our future research.....
    Document: In a nutshell, it can be said that the proposed work exploits the possibility of understanding the entire disease propagation/transmission from SARS-CoV network to human network. It should be borne in mind that SARS-CoV 2 is ~89% genetically similar to its predecessor SARS-CoV [34] , [35] . It strongly reveals the fact that the human proteins chosen as spreaders of SARS-CoV might be the potential targets of SARS-CoV 2 also. If our future research work reveals this assumption, then it will definitely explore a new direction in the identification of essential drugs/vaccine for SARS-CoV 2. The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.12.038216 doi: bioRxiv preprint

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