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Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics 1/2018

01.12.2018 | Original Article

Systems biology approach deciphering the biochemical signaling pathway and pharmacokinetic study of PI3K/mTOR/p53-Mdm2 module involved in neoplastic transformation

verfasst von: Devender Arora, Ajeet Singh

Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics | Ausgabe 1/2018

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Abstract

Cancer is a serious health concern growing at a rapid speed where normal cells take neoplastic transformation. Different pathway is tightly regulated with each other to maintain the harmony and sudden changes in single protein leads to aberrant changes in the whole system. Development of drugs to target these proteins aimed to block the signaling route that leads to cell death. Here, in this study, we performed in silico expression analysis of these potential proteins using system biological approach by mimicking the cell and understanding the behavior of different proteins in drugging condition. We performed in silico biomolecular interaction analysis for exploring the potential plant-derived compounds that can be served as an anticancerous drug with least toxicity by comparing with reference drug approved by FDA. Our results suggest that PI3K, p53-Mdm2 proteins are ideal proteins for targeting cancer cells, while overexpression of mTOR protein was observed when drug targeted this receptor. We state that PI3K family protein plays important role in drug discovery, and compounds obtained from in silico analysis can be served as a potential anticancerous drug for treating different cancer types.

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Metadaten
Titel
Systems biology approach deciphering the biochemical signaling pathway and pharmacokinetic study of PI3K/mTOR/p53-Mdm2 module involved in neoplastic transformation
verfasst von
Devender Arora
Ajeet Singh
Publikationsdatum
01.12.2018
Verlag
Springer Vienna
Erschienen in
Network Modeling Analysis in Health Informatics and Bioinformatics / Ausgabe 1/2018
Print ISSN: 2192-6662
Elektronische ISSN: 2192-6670
DOI
https://doi.org/10.1007/s13721-017-0162-9

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