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Abstract

Computer simulation studies are one of the essential stage in the novel drug development process. Insilico molecular docking studies are proved to be the best tool used to investigate the complementarity and level of interaction at the molecular level between the compound of natural or synthetic origin and a potential target. Chrysin, Morin and Luteolin are naturally occurring flavonoid compounds. These are polyphenolic compounds found as integral components of the human diet and widely distributed in plants, unicellular organisms, algae, bacteria, invertebrates, and vertebrates. These compounds possess anti-inflammatory, anti-oxidant and neuroprotective actions. In research fields, these natural compounds have been investigated as novel therapeutical agents against neurological diseases with inflammatory components, including dementia, Alzheimer disease, Parkinson disease, multiple sclerosis, stroke, and brain ischemia/reperfusion. In this study, the compounds are subjected to docking studies using Autodock vinaPyRx software.

Keywords

Polyphenolic compounds, Chrysin, Morin, Luteolin, AutodockPyRx Vina, Neuroinflammatory diseases.

Introduction

Inflammation may be defined as the innate response to harmful stimuli such as pathogens, injury, and metabolic stress. The ultimate role of inflammatory process involves the restoration of the physiological homeostatic state. A Combination of genetic, epigenetic, and environmental factors involve in the pathogenesis of many inflammation-related clinical conditions (1). Primary neuroinflammatory disorders of the central nervous system that include multiple sclerosis, neuromyelitisoptica (NMO), transverse myelitis, optic neuritis, acute disseminated encephalomyelitis (ADEM), primary angiitis of the central nervous system, autoimmune limbic encephalitis, and Susac’s syndrome and multisystem diseases with inflammatory involvement of the central nervous system that include sarcoidosis, systemic lupus erythematosus (SLE), giant cell arteritis, Behçet’s disease, Sjögren’s, and other vasculitides (2).

                                   Drugs like corticosteroids, ? interferon, Glatiramer acetate, natlizumab, plasmapheresis, mitoxantrone, B cell antagonists such as rituximab, T cell antagonists such as cellcept, daclizumab, other chemotherapeutic drugs such as cyclophosphamide and Intravenous immunoglobulin are the immunomodulatory drugs used in the CNS inflammatory diseases (6). Patients on these therapies report a risk for developing CNS opportunistic infections.Important examples of naturaly derived plant compounds of neuroprotective activity included in the category of flavonoids, the secondary metabolites of various plants like tea, berries, redwine, apples and legumes. Various flavonoid compounds like quercetin, catechins, kaempferol and anthocyanidins and shows neuroprotective activity (7) . Flavonoids have two phenyl ring and a heterocyclic ring, which may be responsible for the neuroprotective activity.Luteolin, Morin and chrysin are,endogenous indoleamines amongthe flavonoids which might possess remarkable neuroprotective activity(1,2).

                        Various methods were developed for the assessment of neuroprotective efficacy of drugs. Among these methods, insilico computer simulation studies and molecular docking studies are widely used in the drug designing and developing processes (3,4,5). The study is done using selected macromolecule that involved in the neuronal pathways. In this study various aspects of neuroprotective activity of Chrysin, Morin and luteolin were assessed.

MATERIALS AND METHODS

Insilico and Molecular docking studies of Luteolin, Morin and Chrysin of selected macromolecule were performed using various computer softwares, Molinspirationchemiinformatics and finally AutoDockvinaPyRx (3,5).

Molecular docking studies

Docking software: AutoDockvinaPyRx.

Autodockvina is an open source program that developed from Molecular Graphics Lab for doing molecular docking. It achieves significant improvements in the average accuracy of the binding mode predictions compared to other docking softwares.

Ligand preparation:

     The chemical structure of the compounds were obtained from Pubchem express, world’s largest freely accessible chemistry database. The chemical structures of the compounds were downloaded in the 3D conformer format and then converted to sdfmol format. Finally the input format prepared as pdb ligand format.

         The drug likeness properties, ADME analysis and evaluation of lipinski’s rule of five were done for the compounds using different online softwares like Molinspirationchemiinformatics, Pass software and Swiss ADMET softwares.

Protein preparation

The macromolecule taken is the crystal structure of the “human archidonatelipoxygenase”, Protein Data Bank (PDB) ID – 3D3L with resolution 2.6 Å. The protein processing was done by removing water molecules and chemistry of the macromolecule was corrected for missing hydrogen by softwares. The crystal structure of macromolecule was downloaded from the Protein Data Bank and then after processing it was converted to the input format that is pdbmol format.

RESULTS AND DISCUSSION

   Molecular docking continues to hold great role in the field of computer based drug design. Using insilico and molecular docking studies large number of novel ligands for suitable receptors is developed and their binding energy was calculated using the docking score. There are number of reports citing the successful application of computer simulation methods in the drug developing program in various therapeutic areas.

          The structures of Chrysin, Morin, and Luteolin that are drawn using ACD chemsketch are given in fig. 1. All molecules pass Lipinski’s rule of five and their molecular description features are tabulated in table 1.

The biological activity predictor PASS server works on immediate computation of several type of biological activities on the basis of the structure of the chemical compounds. The PASS values of the compounds for different neuroprotective activities, (Antioxidant, Anti-inflammatory, MAO inhibition, Free radical scavenging) are given in the table 2. From the scores, it is clear that all the compounds possess antioxidant, free radical scavenging hence the chance of the substances being the analogues of a known pharmaceutical agent is also high. Among the compounds, Morin possess high anti-inflammatory, antioxidant and free radical scavenging activities. Luteolin possess the high MAO Inhibition action. From the toxicity and drug likeness prediction studies, it was found that all the compounds donot possess any carcinogenicity and Amies toxicity. The compounds possess high drug likeness scores and are within the drug range. Morin and Luteolin are the compounds which possess high drug likeness scores.  (Table 3, Figure 1)

Molecular docking

The retrieved crystal structure from PDB (PDB ID: 3D3L, Human arachidonatelipoxygenase) has two chains, named A and B. The compounds are docked with the 3D3L receptor and the docking scores are presented in table 4. The docked results show high docking scores with the compounds chrysin and luteolinand they possess best interaction with the active site of the receptor. The docked poses of the compounds with receptor are shown in the figure 2. The docked images show all the compounds possesses large number of hydrogen bond interactions with the receptor. The strengthof interactions between the compounds and receptor are found to be high.

Results of docking showed that the compound binds to the active site residue, which indicates that these compounds can inhibit neurological disorders.

CONCLUSION

The main objective of the study was to evaluate the natural flavonoid compounds, Chrysin, Morin and luteolin for their neuroprotective activity using computer soft wares. The study evaluated whether the compounds can be taken for therapeutic purpose by studying the molecular descriptor values, ADMET analysis and biological activity scores of the molecules. The compounds appear to be safer for administration as indicated by the computational studies.  Also the molecular docking is done to find the mode and strength of interaction of the compounds with the selected receptor in the neurological pathways. 

The results of molinspiration, Swiss ADMET and PASS analysis show that Morin is comparatively better drug like compound than the luteolin and chrysin. The docking score of Morin with the selected macromolecule also found to be high. The supporting results from this study argue that Morin can be further travel through several structural modification processes and detailed investigations to obtain as a newer potent agent with better therapeutic effects.

Further clinical trials are required to validate the compound.

ACKNOWLEDGEMENTS

  Author acknowledge to Department of Pharmacology, Ezhuthachan College Of  Pharmaceutical sciences for the support to carry out the research work  in computer simulation studies.

REFERENCES

  1. Tian-yang Wang, Qing Li, Kai-shun Bi. Bioactive flavonoids in medicinal plants: Structure, activity and biological fate. Asian Journal of Pharmaceutical Sciences. 2017; 13(2018): 12-23.
  2. Duangjai Tungmunnithum, Areeya Thongboonyou, Apinan Pholboon, Aujana Yangsabai. Flavonoids and other Phenolic Compounds from Medicinal Plants for Pharmaceutical and Medical Aspects: an Overview. Journal of Molecular Diversity Preservation International. 2018; 5(93): 2-16.
  3. Baskaran subramani. In silico Molecular modeling and Docking studies of Herbal compound mediated inhibition of ?? kinase? (inhibitor of ?? kinase subunit ?) for Osteoarthritis treatment. Asian Journal of Pharmaceutical and Clinical research. 2018; 11(4): 4-8.
  4. Sasikala pr, Meenak ks. In silico Molecular Docking studies of Multipotential compounds isolated from Premna serratifolia. Innovare Journal of Life Science. 2016; 4(3): 2-14.
  5. Amin Ataie, Mohammad Shadifar, Ramin Ataee. Polyphenolic Antioxidants and Neuronal Regeneration. Basic and Clinical Neurosciences. 2016; 7(2): 81-90.
  6. Rosa Anna Vacca, Daniela Valenti, Salvatore Caccamese, Maria Daglia, Nady Braidy, Seyed Mohammad Nabavi. Plant polyphenols as natural drug for the management of Down syndrome and related disorders. Neuroscince and Biobehavioural Reviews. 2016; 71(2016): 866-874.
  7. Giselle Pentón-Rol, Javier Marín-Prida, and Viviana Falcón-Cama. C-Phycocyanin and Phycocyanobilin as Remyelination Therapies for Enhancin Recovery in Multiple Sclerosis and Ischemic Stroke: A Preclinical Perspective. Behavioural Sciences. 2018; 8(15): 2-17
  8. Maider Muñoz-Culla, Haritz Irizar, David Otaegui.The genetics of multiple sclerosis: review of current and emerging candidates.The Application of Clinical Genetics. 2017;6: 63-73.
  9. Sireesha Divyakolu, Yadavalli Tejaswini, Winnie Thomas, Sravya Thumoju, Vemula Ramana Sreekanth, Mohan Vasavi, Vallomkonda Ramesh OmSai, Vallomkonda Nagaratna, Qurratulain Hasan and Yog Raj Ahuja. Evaluation of C677T Polymorphism of the Methylenetetrahydrofolate Reductase (MTHFR) Gene in various Neurological Disorders. Neurological disorders. 2015; 2(1): 2-7.
  10. Sandra Meyer- Moock, You-Shan Feng, Mathias Maeurer, Franz Werner- Dippel, Thomas Kohlmann. Systematic Literature Review and Validity Evaluation of the Expanded Diasability Status Scale (EDSS) and Multiple Sclerosis Functional Composite (MSFC) in patients with Multiple sclerosis. BioMed Central Neurology. 2014; 14(58): 2-10.

 

TABLES AND FIGURES


Table 1: Molecular descriptor values of compounds.

Compound

MW (g/mol)

Log P

No. of H bond donors

No. of H bond acceptors

Morin

302.24

1.88

5

7

Chrysin

254.24

2.94

2

4

Luteolin

286.23

1.4

4

6


Table 2: Biological activity score of luteolin

Activity

Morin

Chrysin

Luteolin

Anti-inflammatory

0.680

0.647

0.670

Antioxidant

0.858

0.717

0.782

Free-radical scavenging

0.766

0.693

0.755

MAO Inhibition

0.544

0.534

0.584


Table 3: Drug likeness score of compounds

COMPOND

DRUG LIKENESS SCORE

CHRYSIN

0.18

MORIN

0.87

LUTEOLIN

0.86


Table, 4: Docked results of compounds with 3D3L.

Compounds

Docking scores

Morin

-8.3

Chrysin

-9.2

Luteolin

-9.1


       
            Drug likeness score of compounds.png
       
    

Figure 1: Drug likeness score of compounds

       
            Docked images from AutodockvinaPyRx.png
       
    

Fig, 2: Docked images from AutodockvinaPyRx

       
            Screenshot 2024-12-12 145520.png
       
    

Reference

  1. Tian-yang Wang, Qing Li, Kai-shun Bi. Bioactive flavonoids in medicinal plants: Structure, activity and biological fate. Asian Journal of Pharmaceutical Sciences. 2017; 13(2018): 12-23.
  2. Duangjai Tungmunnithum, Areeya Thongboonyou, Apinan Pholboon, Aujana Yangsabai. Flavonoids and other Phenolic Compounds from Medicinal Plants for Pharmaceutical and Medical Aspects: an Overview. Journal of Molecular Diversity Preservation International. 2018; 5(93): 2-16.
  3. Baskaran subramani. In silico Molecular modeling and Docking studies of Herbal compound mediated inhibition of ?? kinase? (inhibitor of ?? kinase subunit ?) for Osteoarthritis treatment. Asian Journal of Pharmaceutical and Clinical research. 2018; 11(4): 4-8.
  4. Sasikala pr, Meenak ks. In silico Molecular Docking studies of Multipotential compounds isolated from Premna serratifolia. Innovare Journal of Life Science. 2016; 4(3): 2-14.
  5. Amin Ataie, Mohammad Shadifar, Ramin Ataee. Polyphenolic Antioxidants and Neuronal Regeneration. Basic and Clinical Neurosciences. 2016; 7(2): 81-90.
  6. Rosa Anna Vacca, Daniela Valenti, Salvatore Caccamese, Maria Daglia, Nady Braidy, Seyed Mohammad Nabavi. Plant polyphenols as natural drug for the management of Down syndrome and related disorders. Neuroscince and Biobehavioural Reviews. 2016; 71(2016): 866-874.
  7. Giselle Pentón-Rol, Javier Marín-Prida, and Viviana Falcón-Cama. C-Phycocyanin and Phycocyanobilin as Remyelination Therapies for Enhancin Recovery in Multiple Sclerosis and Ischemic Stroke: A Preclinical Perspective. Behavioural Sciences. 2018; 8(15): 2-17
  8. Maider Muñoz-Culla, Haritz Irizar, David Otaegui.The genetics of multiple sclerosis: review of current and emerging candidates.The Application of Clinical Genetics. 2017;6: 63-73.
  9. Sireesha Divyakolu, Yadavalli Tejaswini, Winnie Thomas, Sravya Thumoju, Vemula Ramana Sreekanth, Mohan Vasavi, Vallomkonda Ramesh OmSai, Vallomkonda Nagaratna, Qurratulain Hasan and Yog Raj Ahuja. Evaluation of C677T Polymorphism of the Methylenetetrahydrofolate Reductase (MTHFR) Gene in various Neurological Disorders. Neurological disorders. 2015; 2(1): 2-7.
  10. Sandra Meyer- Moock, You-Shan Feng, Mathias Maeurer, Franz Werner- Dippel, Thomas Kohlmann. Systematic Literature Review and Validity Evaluation of the Expanded Diasability Status Scale (EDSS) and Multiple Sclerosis Functional Composite (MSFC) in patients with Multiple sclerosis. BioMed Central Neurology. 2014; 14(58): 2-10.

Photo
Silpa Vijayan
Corresponding author

Ezhuthachan College of Pharmaceutical Sciences, Neyyattinkara, TVM, Kerala, India

Photo
Dr. Merlin N. J.
Co-author

Ezhuthachan College of Pharmaceutical Sciences, Neyyattinkara, TVM, Kerala, India

Photo
Aiswarya Nair
Co-author

Ezhuthachan College of Pharmaceutical Sciences, Neyyattinkara, TVM, Kerala, India

Photo
Shaiju Dharan
Co-author

Ezhuthachan College of Pharmaceutical Sciences, Neyyattinkara, TVM, Kerala, India

Silpa Vijayan*, Dr. Merlin N. J., Aiswarya Nair, Shaiju Dharan, Computer Simulation and Molecular Docking Studies of Natural Compoundschrysin, Morin and Luteolin for Neuroprotective Activity, Int. J. of Pharm. Sci., 2024, Vol 2, Issue 12, 1555-1560. https://doi.org/10.5281/zenodo.14410763

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