Poster
Molecular Docking Study of Potential Phytochemicals in Selected Pteridophytes and
their Effects on the Complex of SARS-CoV2 Spike Protein with Human ACE2
1*
Soubhagya K. B. & 2Dr. Benoj Mathew
Research Scholar, PG & Research Department of Botany, St. Peter’s College, Kolenchery
2
Associate Professor, PG & Research Department of Botany, St. Peter’s College, Kolenchery
1
Abstract
COVID-19 is a deadly infectious disease caused by the SARS-CoV-2 virus.
In this alarming situation, being a rapid and cost effective method, in silco
method of drug discovery plays a crucial role compared to the trial and
error methods using experimental studies. Currently, Pharmaceutical
research has effectively integrated molecular modeling methods to study
complex biological and chemical systems in a variety of drug discovery
programs. The incorporation of computational and experimental strategies
has lead to the discovery of novel compounds. Molecular docking is a
method that explores the ligand conformations adopted within the binding
sites of macromolecular targets. The present study is aimed in a preliminary
manner, to identify the potent phytochemicals that can inhibit the SARSCoV-2 spike protein through molecular docking studies, present in the three
medicinally important pteridophytes that were selected randomly such as
Adiantum capillus-veneris, Dicranopteris linearis and Psilotum nudum.
Bioactive compounds present in them were screened based on previous
literatures and were used as molecules in molecular docking study of spike
protein of SARS-CoV2 with its human receptor ACE2 molecule using
Mcule drug discovery platform. The study has identified the
phytochemicals present in these pteridophytes which have significant
docking scores and potential to inhibit SARS-CoV-2 infection. Among the
9 phytochemicals screened Astragalin, Amentoflavone and Hinokiflavone
exhibited the highest negative docking score (-7.6, -7.9 and -7.4
respectively) which shows their higher affinity to the target, spike protein
of SARS-CoV2. This depicts that these compounds can act as potential
drug against the virus.
Objectives
To study the phytochemicals present in different plants that has
antiviral properties.
To analyse the 3-D structure and binding sites of SARS-CoV-2
Spike protein.
Application of Molecular Docking in virtual screening to predict
binding affinity
Methodology
The SARS-CoV-2 S-proteincrystal structure of SARS-CoV-2 spike
receptor-binding domain bound with ACE2(PDB ID:6M0J at 2.45Å)
was downloaded from RCSB Protein Bank (PDB).
Result
Sl.
No.
Plant used
Phytochemical studied
Docking score
1
Adiantum capillusveneris
Astragalin
Caffeic acid
-7.6
-4.6
2
Dicranopteris
linearis
Afzelin
Isoquercitrin
-6.0
-6.4
3
Psilotum nudum
Quercitrin
Amentoflavone
Hinokiflavone
-6.6
-7.9
-7.4
Kaemferol
Quercetin
-5.7
-6.2
Conclusion
The main objective of ligand-receptor docking is to predict the
predominant binding mode of a ligand with a receptor (protein) of a known 3-D
structure. Binding Affinity is the capability of a specific ligand (small molecule)
and the strength by which a compound interacts and binds to a target molecule's
active sites. Lower the binding energy, greater the affinity of a ligand towards the
receptor molecule. Thus, a compound with a higher negative value can be chosen
as a viable drug candidate.
This study provides insights into the mechanism of selective
phytochemicals, when docked against one of the main target of SARS-CoV-2 ie.,
the spike protein. Among the total of 9 phytoconstituents screened virtually, 3
phytochemicals showed comparatively good inhibition on SARS-CoV-2 Spike
protein 6M0J. These compounds displayed appreciable pharmacokinetic and
physicochemical properties. Through analysis, it is concluded that
phytochemicals Astragalin, Amentoflavone and Hinokiflavone exhibited the
highest negative docking score from the plants Adiantum capillus-veneris and
Psilotum nudum respectively. Thus, they can be considered as candidate
inhibitors for targeted proteins and as drugs, after their in vitro and in
vivo examinations. Overall, the computational predictions along with the reported
pharmacological properties postulated that Astragalin, Amentoflavone and
Hinokiflavone has potential against SARS-CoV-2 target proteins. The
information generated may provide some insights into exploring for potential
drugs against SARS-CoV-2 from plants, which can result in discovery of novel
drugs.
Reference
The prediction of binding site was done with respect to the
available literature and then verified using CAVER WEB (Jan
stourac et al.,2019). The identified tunnels, their properties, energy
profiles and trajectories for ligands’ passages were calculated and
visualized.
Phytochemicals with antiviral, antimicrobial, and antioxidant
propertieswere screened based on the previous literature and
were sorted, filtered. Drug-like compounds screened and was
further fed into SWISS-ADME server for screening based on the
pharmacokinetics, drug-likeliness, and medicinal chemistry
friendliness of small molecules.
For the purpose of study, mcule.com online platform was
employed to carry out docking simulations. The MCULE
purchasable (full) database was used.
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spike
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