Literature DB >> 35672528

Network pharmacological evaluation of strigolactones efficacy as potential inhibitors against therapeutic targets of hepatocellular carcinoma.

Ayush Amod1, Sonu Pahal1, Princy Choudhary1, Ayushi Gupta1, Sangeeta Singh2.   

Abstract

PURPOSE: Hepatocellular carcinoma (HCC) is the uncontrolled growth of hepatocytes which results in nearly 5 million deaths worldwide. Specific strategies have been developed to treat HCC, including surgery, chemotherapy and radiotherapy. But, the effective disease dealing requires synergistic collaboration with other approaches, which often results in moderate to severe side effects during and after the treatment period. Therefore, the focus is now shifting to explore and retrieve those plant-based products that could be utilized to treat HCC with maximum efficacy without causing any side effects. Strigolactones (SL) are compounds of plant origin derived from Striga lutea responsible for controlling the branching pattern of stem and have reported anti-cancerous activity by promoting apoptosis at micromolar concentrations. However, little work has been done concerning determining the pharmacogenomic effect of strigolactones on HCC.
METHODS: Current work focuses on comparing therapeutic efficiencies of SL analogs against core targets of HCC using network pharmacology approach, pharmacokinetics analysis, gene ontogeny, functional enrichment analysis, molecular docking and Molecular Dynamics simulation.
RESULTS: Drug-target prediction and functional enrichment analysis showed that HDAC1 and HDAC2 are the core proteins involved in hepatocellular carcinoma that strigolactone analogs can target. Consequently, results from molecular docking and MD simulation analyses report that among all the SL analogs strigol, epistrigol and nijmegen1 can turn out to be most effective in downregulating the expression of HDAC1, HDAC2 and CYP19A.
CONCLUSION: Strigol, epistrigol and nijmegen1 could be used as potential inhibitors against HCC and can be further validated through in vitro/in vivo studies.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Drug-target prediction; Functional enrichment analysis; Hepatocellular carcinoma; MD simulation; Molecular docking; Strigolactones

Mesh:

Substances:

Year:  2022        PMID: 35672528     DOI: 10.1007/s10529-022-03266-7

Source DB:  PubMed          Journal:  Biotechnol Lett        ISSN: 0141-5492            Impact factor:   2.461


  19 in total

Review 1.  2019 Update of Indian National Association for Study of the Liver Consensus on Prevention, Diagnosis, and Management of Hepatocellular Carcinoma in India: The Puri II Recommendations.

Authors:  Ashish Kumar; Subrat K Acharya; Shivaram P Singh; Anil Arora; Radha K Dhiman; Rakesh Aggarwal; Anil C Anand; Prashant Bhangui; Yogesh K Chawla; Siddhartha Datta Gupta; Vinod K Dixit; Ajay Duseja; Naveen Kalra; Premashish Kar; Suyash S Kulkarni; Rakesh Kumar; Manoj Kumar; Ram Madhavan; V G Mohan Prasad; Amar Mukund; Aabha Nagral; Dipanjan Panda; Shashi B Paul; Padaki N Rao; Mohamed Rela; Manoj K Sahu; Vivek A Saraswat; Samir R Shah; Praveen Sharma; Sunil Taneja; Manav Wadhawan
Journal:  J Clin Exp Hepatol       Date:  2019-09-23

2.  CHARMM36 all-atom additive protein force field: validation based on comparison to NMR data.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2013-07-06       Impact factor: 3.376

3.  admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties.

Authors:  Feixiong Cheng; Weihua Li; Yadi Zhou; Jie Shen; Zengrui Wu; Guixia Liu; Philip W Lee; Yun Tang
Journal:  J Chem Inf Model       Date:  2012-11-01       Impact factor: 4.956

4.  Controlling pathogenesis in Candida albicans by targeting Efg1 and Glyoxylate pathway through naturally occurring polyphenols.

Authors:  Sonali Mishra; Sumit Kumar Rastogi; Sangeeta Singh; Sneh Lata Panwar; Manoj Kumar Shrivash; Krishna Misra
Journal:  Mol Biol Rep       Date:  2019-08-13       Impact factor: 2.316

5.  Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.

Authors:  Peter Ertl; Ansgar Schuffenhauer
Journal:  J Cheminform       Date:  2009-06-10       Impact factor: 5.514

6.  Molecular mechanisms underlying hepatocellular carcinoma.

Authors:  Philippe Merle; Christian Trepo
Journal:  Viruses       Date:  2009-11-09       Impact factor: 5.048

7.  BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine.

Authors:  Zhongyang Liu; Feifei Guo; Yong Wang; Chun Li; Xinlei Zhang; Honglei Li; Lihong Diao; Jiangyong Gu; Wei Wang; Dong Li; Fuchu He
Journal:  Sci Rep       Date:  2016-02-16       Impact factor: 4.379

8.  SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules.

Authors:  Antoine Daina; Olivier Michielin; Vincent Zoete
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.