Comparative analysis of Doxycycline and Ayurvedic herbs to target metastatic breast cancer: An in-silico approach

被引:2
|
作者
Balkrishna, Acharya [1 ,2 ,3 ]
Mittal, Rashmi [1 ]
Malik, Rohan [2 ]
Verma, Hariom [2 ]
Mehra, Kuldeep Singh [3 ]
Chaturvedi, Hariom [3 ]
Okeshwar [3 ]
Ishdev, Swami [3 ]
Kumar, Ajay [3 ]
Arya, Vedpriya [1 ]
机构
[1] Patanjali Res Inst, Patanjali Herbal Res Dept, Haridwar, India
[2] Univ Patanjali, Dept Yog Sci, Haridwar, India
[3] Univ Patanjali, Dept Sanskrit, Haridwar, India
来源
BIOMEDICINE-TAIWAN | 2024年 / 14卷 / 02期
关键词
MMP9; Phytochemicals; Doxycycline; Molecualr docking; MD-Simulation; MOLECULAR DOCKING;
D O I
10.37796/2211-8039.1448
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Metastasis of breast cancer cells to distant sites including lungs, liver, lymph node, brain and many more have substantially affected the overall survival outcome and distant metastasis free survival rate amongst the diseased individuals. Several pre-clinical and clinical studies were carried out to determine the potency of vigorous inhibitors but they extensively deteriorated the patient's quality of life. Hence, there exists an urgent need to explore potent natural remedy to fight against metastatic breast cancer. Methods: Ayurvedic medicinal plants documented in literature for their ability to fight against breast cancer was screened and their respective active moieties were evaluated to exert inhibitory effect against MMP9. Drug like efficacy of phytochemicals were determined using Molecular docking, MD Simulation, ADMET and MM-PBSA and were further compared with synthetic analogs i.e. Doxycycline. Results: Out of 1000 phytochemicals, 12 exerted highest binding affinity (BA) even more than -9.0 kcal/mol that was significantly higher in comparison to Doxycycline which exhibited BA of ->7.3 kcal/mol. In comparison to 37 x 30 x 37 angstrom, 53 x 45 x 66 angstrom offered best binding site and the highest BA was exhibited by Viscosa-lactone at LYS104, ASP185, MET338, LEU39, ASN38. During MD Simulation, Viscosalactone-MMP9 complex remained stable for 20 ns and the kinetic, electrostatic and potential energies were observed to be better than Doxycycline. Furthermore, Viscosalactone obtained from Withania somnifera justified the Lipinski's Rule of 5. Conclusion: Viscosalactone obtained from W. somnifera may act as promising drug candidate to fight against metastatic breast cancer.
引用
收藏
页码:74 / 79
页数:6
相关论文
共 50 条
  • [41] In-Silico Analysis of EGFR-Associated microRNA Signature in Cancer
    Wang, Fengfeng
    Chan, Lawrence
    Law, Helen K. W.
    Wong, Cesar
    Yip, S. P.
    Yung, Benjamin Y. M.
    Cho, William C. S.
    2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2013,
  • [42] Phytochemicals from Ayurvedic plants as potential medicaments for ovarian cancer: an in silico analysis
    Qazi, Sahar
    Raza, Khalid
    JOURNAL OF MOLECULAR MODELING, 2021, 27 (04)
  • [43] Phytochemicals from Ayurvedic plants as potential medicaments for ovarian cancer: an in silico analysis
    Sahar Qazi
    Khalid Raza
    Journal of Molecular Modeling, 2021, 27
  • [44] Proteomic identification and in-silico verification of subtype -specific signatures in breast cancer.
    Pavlou, M. P.
    Dimitromanolakis, A.
    Diamandis, E. P.
    CANCER RESEARCH, 2012, 72
  • [45] Acalabrutinib as a novel hope for the treatment of breast and lung cancer: an in-silico proof of concept
    Khaparkhuntikar, Kedar
    Maji, Indrani
    Gupta, Sunil Kumar
    Mahajan, Srushti
    Aalhate, Mayur
    Sriram, Anitha
    Gupta, Ujala
    Guru, Santosh Kumar
    Kulkarni, Prachi
    Singh, Pankaj Kumar
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024, 42 (03): : 1469 - 1484
  • [46] Comparative transcriptome analysis of metastatic heterogeneity in a mouse model of breast cancer
    Ionkina, Anastasia A.
    Balderrama-Gutierrez, Gabriela
    Phan, Steve Huy
    Mortazavi, Ali
    Prescher, Jennifer A.
    CANCER RESEARCH, 2020, 80 (16)
  • [47] Momordica charantia and breast cancer: An in silico approach
    dos Santos Coelho, Malenia Oliveira
    Berbert, Caroline de Almeida
    Borges, Leonardo Luiz
    JOURNAL OF THEORETICAL & COMPUTATIONAL CHEMISTRY, 2020, 19 (06):
  • [48] Comparative analysis of mangiferin against conventional drugs for skin cancer and inflammation: integrating in-silico and in-vitro studies
    Sharma, Pragya
    Nanda, Sanju
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024,
  • [49] Investigation of therapeutic potential of the Il24-p20 fusion protein against breast cancer: an in-silico approach
    Shahnila Qureshi
    Nadeem Ahmed
    Hafiz Muhammad Rehman
    Muhammad Imran Amirzada
    Fiza Saleem
    Kainat Waheed
    Afeefa Chaudhry
    Iram Kafait
    Muhammad Akram
    Hamid Bashir
    In Silico Pharmacology, 12 (2)
  • [50] Computational analysis of Ayurvedic herbs to explore their potential role as anti-cervical cancer agents
    Dange, Suhani
    Aggarwal, Neha
    Verma, Rivi
    Sinha, Yashika
    Dadhiya, Sonakshi
    Mittal, Gagan
    Sachdeva, Ruchi
    MOLECULAR BIOLOGY RESEARCH COMMUNICATIONS, 2025, 14 (02) : 129 - 141