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

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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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Acknowledgement

This study was conducted in the Department of Biotechnology, G.B. Pant Engineering College (GBPEC), Pauri Garhwal (Uttarakhand). Devender Arora is thankful to TEQIP-II (Technical Education Quality Improvement Program) for financial assistance.

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  1. Department of Biotechnology, G.B. Pant Engineering College, Pauri Garhwal, Pauri, Uttarakhand, India

    Devender Arora & Ajeet Singh

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  1. Devender Arora
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Correspondence to Ajeet Singh.

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Arora, D., Singh, A. Systems biology approach deciphering the biochemical signaling pathway and pharmacokinetic study of PI3K/mTOR/p53-Mdm2 module involved in neoplastic transformation. Netw Model Anal Health Inform Bioinforma 7, 2 (2018). https://doi.org/10.1007/s13721-017-0162-9

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  • DOI: https://doi.org/10.1007/s13721-017-0162-9

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