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https://doi.org/10.21203/rs.3....
Article . 2021 . Peer-reviewed
License: CC BY
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Article
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Applied Biochemistry and Biotechnology
Article . 2021 . Peer-reviewed
License: Springer TDM
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In Silico Protein-Protein Interaction of Pterois volitans Venom with Cancer Inducers of Helicobacter pylori

Authors: Guru Nivetha Ravi; Sneha Unnikrishnan; Irfan Navabshan; Karthikeyan Ramalingam;

In Silico Protein-Protein Interaction of Pterois volitans Venom with Cancer Inducers of Helicobacter pylori

Abstract

Abstract Gastric cancer is a pathological condition induced by bacteria Helicobacter pylori. Targeting the key virulence factors of H.pylori causing gastric cancer is one such promising method for treating gastric cancer. Recently research has been focussed on analysing the adrenergeric, cholinergeric and anticancer properties of their venom proteins. Testing the anticancer activity of the lethal proteins in the venom of P.volitans not only provides a bioactive compound for cancer treatment but is also helpful to eliminate the ecological imbalance caused by this fish in marine environment. This study is focused on an in silico approach using Z-dock for analysing the bioactive prospective of the venom proteins of P.volitans against the key virulence proteins of H.pylori responsible for inducing cancer. Our in silico docking study using computational model of the venom proteins and H.pylori proteins has displayed the possible interactions between these proteins. The results revealed that the venom proteins of P.volitans hyaluronidase and PV toxin a effectively interacts with H.pylori proteins Cag A, Cag L, GGT, Cag D and Urease and may be promising proteins in cancer therapy.

Keywords

Fish Proteins, Helicobacter pylori, Virulence Factors, Perciformes, Molecular Docking Simulation, Bacterial Proteins, Fish Venoms, Stomach Neoplasms, Animals, Humans

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
hybrid