Literature DB >> 33927994

Computational insights into the identification of a potent matrix metalloproteinase inhibitor from Indigofera aspalathoides to control cancer metastasis.

SathishKumar Paramashivam1, Kannan Narayanan Dhiraviam1.   

Abstract

Matrix metalloproteinases (MMPs) are the major proteolytic enzymes which assist in regulating the metastatic process by degrading the extracellular matrix proteins. In this study, we have investigated the anti-metastatic potential of major bioactive compounds in the medicinal plant Indigofera aspalathoides targeting matrix metalloproteinases (MMP2 & MMP9) and it's in silico pharmacokinetic profiles using computational studies. Indigofera aspalathoides (Sivanar vembu in Tamil) is a renowned medicinal herb in traditional Indian medicine which contains indigocarpan, mucronulatol, indigocarpan diacetate, erythroxydiol X and erythroxydiol Y as the major constituents. The 3-dimensional structure of MMP2 and MMP9 was designed by using I-tasser and Modeller and it was validated by PROCHECK. The structures of mucronulatol and indigocarpan have been retrieved from PubChem and indigocarpan diacetate, erythroxydiol X & Y were drawn by using Chemdraw Ultra 6.0. Batimastat was used as a positive control. Molecular docking was performed by using AutoDock 4.2 tools and AutoDock vina, an open-source program which signifies an effective interaction between the phytoligands and MMP2 & MMP9. From the results, AutoDock 4.2 have showed that indigocarpan possesses strong binding energy (ΔG) of - 7.68 kcal/mol towards MMP2 and - 6.35 kcal/mol towards MMP9, whereas batimastat showed binding energy (ΔG) of - 6.34 kcal/mol for MMP2 and - 5.66 kcal/mol for MMP9, meanwhile the results from AutoDock vina indicates that indigocarpan possesses strong binding energy (ΔG) of - 8.0 kcal/mol towards MMP2 and - 8.2 kcal/mol towards MMP9, whereas batimastat showed binding energy (ΔG) of - 7.2 kcal/mol for MMP2 and - 7.6 kcal/mol for MMP9. Also, the ADME and toxicity results suggest that the indigocarpan compound possesses a druggable pharmacokinetic potentiality and does not have carcinogenicity and Ames mutagenesis compared with other phytoligands. Hence, it is evident from our results that both AutoDock platforms strongly revealed that the phytoligand, indigocarpan possesses strong inhibitory activity against MMP2 and MMP9 to control cancer metastasis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-02731-w. © King Abdulaziz City for Science and Technology 2021.

Entities:  

Keywords:  AutoDock; Batimastat; Indigocarpan; MMP; Mucronulatol

Year:  2021        PMID: 33927994      PMCID: PMC8026800          DOI: 10.1007/s13205-021-02731-w

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  37 in total

1.  AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

Authors:  Oleg Trott; Arthur J Olson
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

2.  The I-TASSER Suite: protein structure and function prediction.

Authors:  Jianyi Yang; Renxiang Yan; Ambrish Roy; Dong Xu; Jonathan Poisson; Yang Zhang
Journal:  Nat Methods       Date:  2015-01       Impact factor: 28.547

3.  Inhibition of Gelatinases (MMP-2 and MMP-9) by Withania somnifera Phytochemicals Confers Neuroprotection in Stroke: An In Silico Analysis.

Authors:  Gaurav Kumar; Ranjana Patnaik
Journal:  Interdiscip Sci       Date:  2017-05-09       Impact factor: 2.233

Review 4.  Matrix metalloproteinases: regulators of the tumor microenvironment.

Authors:  Kai Kessenbrock; Vicki Plaks; Zena Werb
Journal:  Cell       Date:  2010-04-02       Impact factor: 41.582

5.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

6.  Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment.

Authors:  Jianyi Yang; Ambrish Roy; Yang Zhang
Journal:  Bioinformatics       Date:  2013-08-23       Impact factor: 6.937

7.  Fpocket: an open source platform for ligand pocket detection.

Authors:  Vincent Le Guilloux; Peter Schmidtke; Pierre Tuffery
Journal:  BMC Bioinformatics       Date:  2009-06-02       Impact factor: 3.169

8.  Elevated ratio of MMP2/MMP9 activity is associated with poor response to chemotherapy in osteosarcoma.

Authors:  Pierre Kunz; Heiner Sähr; Burkhard Lehner; Christian Fischer; Elisabeth Seebach; Jörg Fellenberg
Journal:  BMC Cancer       Date:  2016-03-15       Impact factor: 4.430

9.  Enhanced anti-metastatic and anti-tumorigenic efficacy of Berbamine loaded lipid nanoparticles in vivo.

Authors:  Priyambada Parhi; Sujit Suklabaidya; Sanjeeb Kumar Sahoo
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

Review 10.  Molecular principles of metastasis: a hallmark of cancer revisited.

Authors:  Jawad Fares; Mohamad Y Fares; Hussein H Khachfe; Hamza A Salhab; Youssef Fares
Journal:  Signal Transduct Target Ther       Date:  2020-03-12
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  1 in total

1.  Identification of Zinc-Binding Inhibitors of Matrix Metalloproteinase-9 to Prevent Cancer Through Deep Learning and Molecular Dynamics Simulation Approach.

Authors:  Shalini Mathpal; Priyanka Sharma; Tushar Joshi; Veena Pande; Shafi Mahmud; Mi-Kyung Jeong; Ahmad J Obaidullah; Subhash Chandra; Bonglee Kim
Journal:  Front Mol Biosci       Date:  2022-03-31
  1 in total

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