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Article

Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms

by
Fatemeh Mollaamin
Department of Biomedical Engineering, Faculty of Engineering and Architecture, Kastamonu University, Kastamonu 37150, Turkey
Antibodies 2024, 13(2), 38; https://doi.org/10.3390/antib13020038
Submission received: 13 February 2023 / Revised: 23 April 2023 / Accepted: 29 April 2024 / Published: 7 May 2024
(This article belongs to the Section Humoral Immunity)
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Abstract

:
Considering the COVID-19 pandemic, this research aims to investigate some herbs as probable therapies for this disease. Achillea millefolium (Yarrow), Alkanet, Rumex patientia (Patience dock), Dill, Tarragon, and sweet fennel, including some principal chemical compounds of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone have been selected. The possible roles of these medicinal plants in COVID-19 treatment have been investigated through quantum sensing methods. The formation of hydrogen bonding between the principal substances selected in anti-COVID natural drugs and Tyr-Met-His (the database amino acids fragment), as the active area of the COVID protein, has been evaluated. The physical and chemical attributes of nuclear magnetic resonance, vibrational frequency, the highest occupied molecular orbital energy and the lowest unoccupied molecular orbital energy, partial charges, and spin density have been investigated using the DFT/TD-DFT method and 6-311+G (2d,p) basis set by the Gaussian 16 revision C.01 program toward the industry of drug design. This research has exhibited that there is relative agreement among the results that these medicinal plants could be efficient against COVID-19 symptoms.

1. Introduction

The COVID-19 pandemic is a serious malady caused by a new coronavirus known as severe acute respiratory syndrome (SARS-CoV-2). There are no trustworthy remedies or acceptable vaccines to fight against SARS-CoV-2. More attempts to probe for antiviral agents against COVID-19 are essential, while phytochemicals can be a powerful solution.
Natural medications are an important part of common health, notwithstanding the progress of the health system. In rural areas, local treatment keeps its importance as the primary procedure in the usual seasonal maladies, like colds and flu. The most important reason for using herbs and medicinal plant treatments is the belief that they will influence one’s health. Natural products from medicinal plants are, therefore, bringing hope in the form of phytocompounds, which can either kill SARS-CoV-2, interfere with its replication, or strengthen the human body’s immunity to fight against infection.
Recently, almost all antibodies have been produced in human cells and transformed animal cells. These are platforms that require a lot of equipment and take a long time to set up. Many plant-based antibodies can respond very quickly to the emergence of new variants of COVID-19. The emergence of a new coronavirus, known as SARS-CoV-2, has initiated a pandemic of COVID-19. Since its first reported case in Wuhan, China, in December 2019, new evidence discovered by both clinicians and researchers globally has helped to shed some light on the disease pathogenesis and the nature of the virus itself. The availability of new information has subsequently informed policy changes on transmission prevention strategies, as well as the development of preventative vaccines and therapeutic drug candidates. Enforced physical distancing, hand hygiene, and arguably, proper usage of personal protective equipment, including wearing a surgical mask, remains the most effective way of controlling the spread of the disease. Most countries that have adopted such measures have reported some success in curbing the spread of the disease [1,2,3,4,5,6,7,8,9,10].
In the research of phytomedicine, it is common to observe multiple pharmacological properties from a single plant. It is now well understood that a single plant may contain a wide range of phytochemicals, making ethnopharmacology research full of possibilities yet challenging. On top of exhibiting direct antiviral effects, medicinal plants with reported anti-inflammatory activities may have pleiotropic roles in COVID-19 management, such as the elevation of inflammatory markers [11,12,13,14,15,16,17,18,19].
Achillea millefolium, or common yarrow, is a flowering plant in the family Asteraceae. It is native to temperate regions of the Northern Hemisphere in Asia, Europe, and North America. It has been introduced as a feed for livestock in New Zealand and Australia, where it is a common weed growing in both wet and dry areas, such as roadsides, meadows, fields, and coastal locations. Achillea millefolium is used in traditional medicine, possibly due to its astringent effects. Yarrow and its North American varieties were traditionally used by many Native American nations. Native American nations used the plant for healing cuts and abrasions, for relief of earaches and throat infections, and as an eyewash. Common yarrow was used by plains Indigenous peoples to reduce pain or fever and aid sleep (Table 1) [20,21].
Rumex patientia, known as patience dock, [4] garden patience, herb patience, or monk’s rhubarb, is an herbaceous perennial flowering plant belonging to the family Polygonaceae. In spring, it is often consumed as a leaf vegetable and used as a filling in pies in Southern Europe, especially in Bulgaria, North Macedonia, and Serbia. It is also used in Romania in spring broths or sarmale. Rumex patientia, or patience dock, is an uncommon weed found growing on roadsides, farm fields, and waste areas. Some of the distinguishing characteristics of Rumex patientia are whether the leaves are crinkly wavy or relatively flat, the shape of the inner tepals at maturity, the size and shape of the grains, whether the grains on all three inner tepals are about the same size, sometimes the length of the flower stalk, whether the stalk is jointed, or whether a vein pattern appears on the leaves. Patience dock has weakly crinkly wavy leaves, tepals up to 8 mm long that range from kidney-shaped to nearly round and is slightly ragged around the edge, a single grain about a quarter as long as the tepal, and a flower stalk that has a swollen joint near the base. It has the largest tepals of the Minnesota Rumex species, and the (usually) single, small grain makes it unique (Table 1) [22].
Dill or Anethum graveolens is an annual herb in the celery family Apiaceae. It is the only species in the genus Anethum. Dill is grown widely in Eurasia, where its leaves and seeds are used as an herb or a spice for flavoring food. Dillapiole is a natural constituent of Anethum graveolens, which exhibits potential biological properties. Dillapiole may be used as an analytical reference standard for the quantification of the analyte in the French bean Phaseolus sp. Treated with pesticidal formulation, as well as in dill, caraway seeds, and pharmaceutical formulations using chromatography techniques (Table 1) [23,24].
One subspecies, tarragon, is cultivated for the use of its leaves as an aromatic culinary herb. From some other subspecies, a characteristic aroma is largely absent (Table 1) [25,26].
Sweet fennel is a flowering plant species in the carrot family. It is a hardy, perennial herb with yellow flowers and feathery leaves. It is indigenous to the shores of the Mediterranean but has become widely naturalized in many parts of the world, especially on dry soils near the seacoast and on riverbanks. It is a highly flavorful herb used in cooking and, along with the similar-tasting anise, is one of the primary ingredients of absinthe (Table 1) [27,28].
Flavonoids from natural medication were represented as possessing antiviral bioactivities [29,30,31]. In this work, it has been illustrated that achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone are the probable anti-COVID-19 receptor derived from medicinal plants (Table 1).
Based on this research, it can be estimated the occasions for discovering the efficient medication against COVID-19 using quantum mechanics computations to measure the effect of hydrogen bonding in the variety of junctions with these seven natural drugs of achillin, alkannin, cuminaldehyde, dillapiole, estragole and fenchone bound to the active area of COVID-19 virus [32,33,34,35,36,37].

2. Materials and Methods

Achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone have been attached to the active area of COVID-19 protein compounds, which approves the existence of hydrogen bonds toward resistant complexes. Therefore, quantum mechanics approaches with m062x/cc-pvdz pseudo=CEP function for complexes of seven inhibitors for COVID-19 have been accomplished. The favorable coordination of the optimized substances of phenilic natural drug joint to Tyr160-Met161-His162 with IR spectroscopy using the Gaussian 16 revision C.01 program package [38] has been measured due to the DFT method and m062x/cc-pvdz pseudo=CEP level of theory. The [Perdew–Burke–Ernzerhof] “PBE” functional with high-precision generalized gradient approximation “GGA” has been employed to achieve more authentic results [39].
It has been exhibited that polarization functions in the employed basis set in the calculation always reflect magnificent prosperity in simulation and modeling in the drug design industry [40,41,42,43,44,45,46,47]. Frequency achievement is the finding of harmonic potential wells by analytic procedures that keep the activity of all atoms at the same time in the vibration time scale, conducting an inherent illustration of vibrations in molecules [48,49,50,51,52].
Thus, the geometry optimization of coordination in medicinal extracts-TMH agents based on the drug design has been found from the active area of certain atoms of “O”, “N,” and “H” in the attachment of bond angle and torsion angle values (Table 2).
For carrying out a firm compound of natural medication attached to a COVID-19 active site, the chemical shift of nuclear magnetic resonance, vibrational frequency, and intensity of the normal modes have been computed with the “QM” methods, and the original vibrational modes have been analyzed [53,54,55,56,57,58].
Computational measurements have been carried out in a variety of theoretical levels to profit from the more precise balance of geometrical amounts and infrared spectral information for each of the indicated substances. It is assumed that further diffuse and polarization functions into the basis set employed in the calculation direct us to the high evolution of the results of methodical approaches [59,60,61,62].
The different approaches in modeling and simulation exhibit the path that can generate a usual model at a particular temperature by evaluating all physical and chemical attributes based on the partition function amounts [63,64,65,66,67,68,69,70,71].

3. Results and Discussion

3.1. Nuclear Magnetic Resonance (NMR) Analysis

The amounts of “NMR” shifts for Tyr160-Met161-His162 through the database of amino acids in beta-sheet conformation and four certain extracts of natural medications containing achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone have been evaluated to discover the exhibited of oxygen, nitrogen, and hydrogen in the active sites of these anti-virus medications through the production of hydrogen bonding by representing the reaction area of “TMH” agent (Figure 1a–f).
Achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone have approximately shown identical behavior (about 30–200 ppm) for different atoms in the interaction site of these substances with Tyr160-Met161-His162 through the “NMR” calculations accompanying electron spin density (ESP) (Figure 1). The strongest graph of “NMR” spectroscopy has been almost seen in 30 ppm for all principal ingredients of herbal medicine. The most fragile graphs of the “NMR” spectrum have approximately been observed between 50 and 200 ppm (Figure 1).
Nuclear magnetic resonance properties have denoted the critical points of essential extracts of pharmaceutical kinds for attaching to the Tyr160-Met161-His162 (TMH) in producing the anti-virus medications while each critical atom of “O” and “N” as the electronegative atoms for jointing to the hydrogen has remarked the major changing in the “NMR” graphs (Figure 1a–f).

3.2. Infrared (IR) Spectra Analysis and Thermodynamic Properties

The IR calculations for main ingredients of medicinal plants including achillin, alkannin, cuminaldehyde, dillapiole, estragole and fenchone have been calculated for fixing the intersection of Tyr160-Met161-His162 as the anti-COVID-19 medication through the drug design approach applying “IR” spectroscopy using Gaussian 16 revision C.01 program to obtain the best amounts for geometrical coordination and thermochemical parameters (Figure 2a–f). The most fluctuation of frequency of “IR” spectra for alendronic acid, ibandronic acid, neridronic acid, and pamidronic acid has been approximately seen between 500 and 3000 cm−1. The strongest peaks of “IR” graph for principal ingredients of herbal medicine have been observed in 1850 cm−1 for achillin (Figure 2a), in 2000 cm−1 for alkannin (Figure 2b), in 1950 cm−1 for cuminaldehyde (Figure 2c), in 2050 cm−1 for dillapiole (Figure 2d), in 1850 cm−1 for estragole cm−1 (Figure 2e), and in 2125 cm−1 for fenchone (Figure 2f).
In achillin, cuminaldehyde, dillapiole, and estragole attached to Tyr160-Met161-His162 through its database of amino acids in beta-sheet conformation, as the critical point of COVID-19 protein compound in the procedure of drug design steps, the functions of frequency and intensity of diverse infrared normal modes of pharmaceutical extracts-TMH complexes have been discovered to be significantly distinct through the resistance of hydrogen bonding organized between the critical point of COVID-19 agent B.1.1.529 and pharmaceutical extracts which establishes the anti-COVID-19 medication (Table 3 and Figure 3).
The intensity and frequency of TMH attachment have been explored to vary dramatically with each pharmaceutical extract therapy consisting of achillin, cuminaldehyde, dillapiole, estragole, and fenchone. It has been seen that the frequency and intensity of achillin and cuminaldehyde are higher than dillapiole and estragole (Figure 3). Then, thermodynamic properties have distinguished the resistant anti-COVID-19 agent complexes of principal extracts of pharmaceutical kinds of “TMH” through the hydrogen bonding constitution employing the drug design framework (Table 4).
Moreover, the difference in ∆HF among achillin, alkannin, cuminaldehyde, dillapiole, and estragole has been illustrated due to the formation of the hydrogen bonding in Tyr160-Met161-His162 agent of the critical point in COVID-19 macromolecule by analyzing the database of amino acids in beta-sheet conformation (Table 5 and Figure 4).

3.3. Charge Distribution

In this part, the atomic charge of certain atoms of “O” attachment of achillin, alkannin, cuminaldehyde, dillapiole, and estragole with Tyr160-Met161-His162 agent has been measured in the critical point of hydrogen bonding existence (Table 6).
Then, in Figure 5, it has been sketched the alterations of “Q” of indicated “O” atoms for optimized molecules of achillin, alkannin, cuminaldehyde, dillapiole, and estragole with Tyr160-Met161-His162 agent due to the existence of hydrogen bonding. Thus, the consequences of Table 6 in a polar area have notified the consistency of COVID-19 medications, which have been accomplished considering the oxygen as the electronegative atoms in the growth of the hydrogen bonding using the drug design insight, which has proposed the modeling of an anti-COVID-19 drug.
All in all, the prospect of Figure 5 suggests the proof for the existence of various “Q” on natural medication-COVID-19 complexes as the anti-COVID-19 drugs, which basically depends on the status of critical points of exhibited atoms of “O”, “N” and “H” in the attachment of bond angles. On the other hand, the spin density and partial charges have been achieved by matching the electrostatic potential to make up the charge of “O” and “N” with high electronegativity in the linkage of an electrophilic group of ‘‘H” in the compounds of natural medication-COVID-19 as the anti-virus drugs which can direct us toward the industry of drug design outlook.

3.4. HOMO and LUMO: Frontier Orbitals

“HOMO”, the highest occupied molecular orbital energy, and “LUMO”, the lowest unoccupied molecular orbital energy, have been calculated for some effective ingredients of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone (Table 7). The HOMO, LUMO, and band energy gap (ev) indicated the pictorial explanation of the frontier molecular orbital and their respective positive and negative zones, which are an important factor for identifying the molecular characteristics of achillin, alkannin, cuminaldehyde, dillapiole, estragole and Fenchone in of six selected medicinal plants of Achillea millefolium (Yarrow), Alkanet, Rumex patientia (Patience dock), Dill, Tarragon, and Sweet fennel.
In fact, the “HOMO” presents the susceptibility for releasing an electron while the “LUMO” as an electron acceptor introduces the competence for receiving an electron particle. So, the energy gap (∆E = E LUMO–EHOMO) explains the energy diversity between the frontier “HOMO” and “LUMO” orbital, showing the solidity of the substance and illustrating the chemical activity of the molecule (Figure 6).
Figure 6 has shown the sequence of band energy gap for chemical compounds of natural drugs as ∆Eachillin > ∆Ealkannin > ∆Ecuminaldehyde > ∆Edillapiole > ∆Eestragole > ∆Efenchone with the relation coefficient of R2 = 0.9374 (Figure 6). While the band energy gap (∆E) decreases, the stability of the compound increases. Therefore, the fenchone is predicted to be more sensitive than other ingredients.
In this research, the energy gap appoints how achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone as an efficient anti-COVID-19 pandemic receptor can be achieved from natural medications. In addition, frontier molecular orbitals carry out an essential function in the optical and electrical properties, such as in UV-Vis spectra [72].
Furthermore, to accomplish more decisive approval in recognizing the compound specifications, a group of chemical reactivity factors containing “µ” (chemical potential), “χ” (electronegativity), “η” (hardness), “ζ” (softness), “ψ” (electrophilicity index) has been accomplished (Table 8) [73,74,75]:
The negative values of “µ” and the positive amounts of other quantities have exhibited good stability of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone in Achillea millefolium (Yarrow), Alkanet, Rumex patientia (Patience dock), Dill, Tarragon, and Sweet fennel (Table 8).

3.5. Analysis of UV-VIS Spectroscopy

There is a critical factor as an energy gap between “HOMO” and “LUMO” for recognizing the characteristics of molecular electrical transport [76]. Based on the Frank–Condon principle, the maximum absorption peak (max) is related to a UV–visible spectrum to vertical excitation.
In this research, TD-DFT/6-311+G (2d,p) computations have been carried out to identify the low-lying excited states of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone. The results contain the vertical excitation energies, oscillator strength, and wavelength, which have been presented in Figure 7.
In the calculated value of UV–visible spectrum of principal ingredients of medicinal plants, there is a maximum absorption band between 200 and 250 nm for achillin, 250 and 500 nm for alkannin, cuminaldehyde, 170 and 230 nm for dillapiole, 160 and 250 nm for estragole and 100 and 150 nm for Fenchone, respectively. Strong absorption has been observed for achillin, about 225 nm; for alkannin, 488 nm; for cuminaldehyde, 230 nm; and for pamidronic acid, 222 nm, respectively (Figure 7).
This research article has manifested that medicinal plants and phytocompounds can have a considerable function due to their substantial antiviral activity against SARS-CoV-2 and other coronaviruses. Achillin, alkannin, cuminaldehyde, dillapiole, estragole, and Fenchone extracted from Achillea millefolium (Yarrow), Alkanet, Rumex patientia (Patience dock), Dill, Tarragon, and Sweet fennel, respectively, were identified through in silico molecular modeling by using DFT screening. Identified natural phytocompounds revealed to have the potential to exhibit antiviral activities by disrupting the viral life cycle, including viral entrance, replication, assembly, and discharge, as well as virus-specific host targets. Thus, this prompt increase in the pharmaceutical industry focused on phytochemical extracts from medicinal plants and aromatic herbs in the hopes of discovering lead compounds with purposeful antiviral medications.
Here, we used network pharmacology, metabolite analysis, and molecular simulation to comprehend the biochemical basis of the health-boosting impact of medicinal plants. The present study investigates the drug ability, metabolites, and potential interaction of the title tea with genes associated with COVID-19-induced pathogenesis.

4. Conclusions

Medicinal plants of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone are puissant to adhere the database amino acids segment of Tyr160-Met161-His162 agent as the appointive area of the COVID-19 through exhibiting the alteration in their frequency and intensity spectra after approximation by “NMR” approach which is influenced by the atomic configuration of the anti-virus macromolecule. The resistance of hydrogen bonding between several pharmaceutical extracts of achillin, alkannin, cuminaldehyde, dillapiole, estragole, fenchone, and COVID-19 through the constitution of anti-COVID-19 through two possibilities of [NAntibodies 13 00038 i019H] and [OAntibodies 13 00038 i019H] with distinct atomic charges have been inquired using “IR” approaches. Therefore, the thermodynamic attributes of Gibbs free energy, enthalpy of formation, Electronic Energy, and Core–Core interaction can authorize the consistency of anti-COVID-19 due to hydrogen bonding foundation using the drug design framework. Moreover, the lowering of the energy gap [∆E = ELUMO –EHOMO] has illustrated the charge transfer interactions taking place within achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone. The atomic charges have donated the proper perception of molecular theory and the energies of fundamental molecular orbitals.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within this article.

Acknowledgments

In successfully completing this paper and its research, the author is grateful to Kastamonu University.

Conflicts of Interest

The authors declare no conflicts of interest.

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Antibodies 13 00038 g001aAntibodies 13 00038 g001bAntibodies 13 00038 g001c
Figure 1. “NMR” spectroscopy for (a) achillin, (b) alkannin, (c) cuminaldehyde, (d) dillapiole, (e) estragole and (f) fenchone bound to “TMH” COVID-19 active area through the drug design approach.
Figure 1. “NMR” spectroscopy for (a) achillin, (b) alkannin, (c) cuminaldehyde, (d) dillapiole, (e) estragole and (f) fenchone bound to “TMH” COVID-19 active area through the drug design approach.
Antibodies 13 00038 g001aAntibodies 13 00038 g001bAntibodies 13 00038 g001c
Antibodies 13 00038 g002aAntibodies 13 00038 g002bAntibodies 13 00038 g002c
Figure 2. The graphs of “IR” spectra for (a) achillin, (b) alkannin, (c) cuminaldehyde, (d) dillapiole, (e) estragole, and (f) fenchone bound to “TMH” through the drug design approach achieved by m062x/cc-pvdz pseudo = CEP level of theory.
Figure 2. The graphs of “IR” spectra for (a) achillin, (b) alkannin, (c) cuminaldehyde, (d) dillapiole, (e) estragole, and (f) fenchone bound to “TMH” through the drug design approach achieved by m062x/cc-pvdz pseudo = CEP level of theory.
Antibodies 13 00038 g002aAntibodies 13 00038 g002bAntibodies 13 00038 g002c
Antibodies 13 00038 g003
Figure 3. The curves of “IR” spectra for medicinal plants of achillin, cuminaldehyde, dillapiole, and estragole anti-COVID-19 drugs in normal mode = 59.
Figure 3. The curves of “IR” spectra for medicinal plants of achillin, cuminaldehyde, dillapiole, and estragole anti-COVID-19 drugs in normal mode = 59.
Antibodies 13 00038 g003
Antibodies 13 00038 g004
Figure 4. The changes in ∆HR among achillin, alkannin, cuminaldehyde, dillapiole, and estragole bound to COVID-19 active site protein.
Figure 4. The changes in ∆HR among achillin, alkannin, cuminaldehyde, dillapiole, and estragole bound to COVID-19 active site protein.
Antibodies 13 00038 g004
Antibodies 13 00038 g005
Figure 5. Comparing “Q” versus indicated “O” atoms in the attachment of active areas of achillin, alkannin, cuminaldehyde, dillapiole, and estragole with Tyr160-Met161-His162 agent.
Figure 5. Comparing “Q” versus indicated “O” atoms in the attachment of active areas of achillin, alkannin, cuminaldehyde, dillapiole, and estragole with Tyr160-Met161-His162 agent.
Antibodies 13 00038 g005
Antibodies 13 00038 g006
Figure 6. The band energy gap (eV) for achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
Figure 6. The band energy gap (eV) for achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
Antibodies 13 00038 g006
Antibodies 13 00038 g007aAntibodies 13 00038 g007bAntibodies 13 00038 g007c
Figure 7. UV–visible spectra of (a) achillin, (b) alkannin, (c) cuminaldehyde, (d) dillapiole, (e) estragole and (f) fenchone.
Figure 7. UV–visible spectra of (a) achillin, (b) alkannin, (c) cuminaldehyde, (d) dillapiole, (e) estragole and (f) fenchone.
Antibodies 13 00038 g007aAntibodies 13 00038 g007bAntibodies 13 00038 g007c
Table 1. Plant species most preferred against COVID-19 include achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
Table 1. Plant species most preferred against COVID-19 include achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
CompoundMolecular StructureSourcesApplied Symptom
AchillinAntibodies 13 00038 i001Achillea millefolium (Yarrow)weakness, cough, sore throat, nausea-vomiting
AlkanninAntibodies 13 00038 i002Alkanetskin rash, diarrhea
CuminaldehydeAntibodies 13 00038 i003Rumex patientia
(Patience dock)		skin rash, sore throat, fever
DillapioleAntibodies 13 00038 i004Dillanorexia
EstragoleAntibodies 13 00038 i005Tarragonfever, muscle-joint pain, anorexia
FenchoneAntibodies 13 00038 i006Sweet fennelshortness of breath
Table 2. The geometry optimization amounts with m062x/cc-pvdz pseudo=CEP for achillin, cuminaldehyde, dillapiole, and estragole bound to the active site of COVID-19 protein through the drug design approach.
Table 2. The geometry optimization amounts with m062x/cc-pvdz pseudo=CEP for achillin, cuminaldehyde, dillapiole, and estragole bound to the active site of COVID-19 protein through the drug design approach.
Medicinal Extracts—COVID-19
Active Area		Bond Length(Å)Bond/Torsion
Angle		(°)
AchillinN67-H681.036N67-H68-O15176.181
H68-O150.9974
O15-C131.4123N67-H68-O15-C13178.492
CuminaldehydeN61-H621.0351N61-H62-O9179.192
H62-O90.9966
O9-C71.4150N61-H62-O9-C731.2731
DillapioleN78-H791.0295N78-H79-C13179.216
H79-C131.1193
C13-O121.4131N78-H79-C13-O1255.0114
EstragoleN71-H721.0358N71-H72-C11179.208
H72-C111.1244
C11-O101.4099N71-H72-C11-O10106.924
Table 3. The compounds of Achillin, cuminaldehyde, dillapiole, and estragole as anti-COVID-19 drugs in distinct normal modes of infrared spectra.
Table 3. The compounds of Achillin, cuminaldehyde, dillapiole, and estragole as anti-COVID-19 drugs in distinct normal modes of infrared spectra.
InhibitorNormal ModeFrequency
(1/cm)		Intensity
(km/mol)
Achillin2753336.012292.987
Cuminaldehyde2363395.382270.866
Dillapiole2051998.66202.722
Estragole1851971.26226.961
Table 4. The thermodynamic factors of achillin, alkannin, cuminaldehyde, dillapiole, and estragole bound to COVID-19 active site protein.
Table 4. The thermodynamic factors of achillin, alkannin, cuminaldehyde, dillapiole, and estragole bound to COVID-19 active site protein.
Plant Component—Active Site∆G × 10−4
(kcal/mol)		∆S
(kcal/K.mol)		Eelectronic × 10−4
(kcal/mol)		Ecore-core × 10−4
(kcal/mol)
Achillin−18.2174607.2787−214.3615196.1441
Alkannin−19.6971656.5647−232.3721212.6750
Cuminaldehyde−15.2850509.7272−165.8901150.6051
Dillapiole−17.8553595.2878−198.4780180.6227
Estragole−15.2109507.3701−160.6792145.4682
Table 5. The calculated difference in ∆HF (kcal/mol) (heat formation) for achillin, alkannin, cuminaldehyde, dillapiole, and estragole attached to the critical point of “TMH” derived from COVID-19 macromolecule at 300 K.
Table 5. The calculated difference in ∆HF (kcal/mol) (heat formation) for achillin, alkannin, cuminaldehyde, dillapiole, and estragole attached to the critical point of “TMH” derived from COVID-19 macromolecule at 300 K.
∆HTMH × 10−4
25.8242 (kcal/mol)		∆H Achillin∆H(Achillin - active site)∆HF × 10−4 = ∆H (Achillin - active site) – (∆H Achillin + ∆H active site)
−76.24249.5452−25.8156
∆H Alkannin∆H(Alkannin - active site)∆HF × 10−4 = ∆H (Alkannin - active site) – (∆H Alkannin + ∆H active site)
−80.8417−1.3898 −25.8162
∆H Cuminaldehyde∆H(Cuminaldehyde - active site)∆HF × 10−4 = ∆H (Cuminaldehyde - active site) – (∆H Cuminaldehyde +∆H active site)
−3.668067.8448−25.8170
∆H Dillapiole∆H(Dillapiole - active site)∆HF × 10−4 = ∆H(Dillapiole - active site) – (∆H Dillapiole + ∆H active site)
−31.342833.0993−25.8177
∆H Estragole∆H (Estragole - active site)∆HF × 10−4 =∆H (Estragole - active site) – (∆H Estragole + ∆Hactive site)
101.561414.9017−25.8328
Table 6. The amounts of atomic charge (Q) for indicated “O” atoms in the linkage of achillin, alkannin, cuminaldehyde, dillapiole, and estragole to Tyr160-Met161-His162.
Table 6. The amounts of atomic charge (Q) for indicated “O” atoms in the linkage of achillin, alkannin, cuminaldehyde, dillapiole, and estragole to Tyr160-Met161-His162.
AchillinQAlkanninQCuminaldehydeQDillapioleQEstragoleQ
N19−0.0463N24−0.0442N13−0.0450N30−0.0455N23−0.0463
N40−0.0506N45−0.0513N34−0.0503N51−0.0501N44−0.0482
N57−0.0323N62−0.0368N51−0.0375N68−0.0377N61−0.0367
N670.1071N720.0057N610.0505N780.3846N710.2459
N73−0.1103N78−0.0961N67−0.1211N84−0.0413N77−0.0487
O14−0.2489O11−0.4572O9−0.4548O9−0.1526O10−0.1878
O15−0.4204O12−0.1939O18−0.4041O10−0.1758O28−0.4031
O24−0.4027O14−0.3115O32−0.2455O12−0.1684O42−0.2305
O38−0.2326O21−0.3452O39−0.3786O49−0.2174O49−0.3875
O45−0.3872O29−0.4001O56−0.3090O56−0.3826O66−0.3223
O62−0.3070O43−0.2657 O73−0.3254
O50−0.3842
O67−0.2939
Table 7. The “HOMO” (a.u.), “LUMO” (a.u.), and band energy gap (eV) of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
Table 7. The “HOMO” (a.u.), “LUMO” (a.u.), and band energy gap (eV) of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
MoleculeELUMO (a.u.)EHOMO (a.u.)∆E = ELUMO – EHOMO (eV)
AchilinAntibodies 13 00038 i007−0.0266Antibodies 13 00038 i008−0.30197.4899
AlkanninAntibodies 13 00038 i009−0.0283Antibodies 13 00038 i010−0.17674.0381
CuminaldehydeAntibodies 13 00038 i011−0.0887Antibodies 13 00038 i012−0.20753.2327
DillapioleAntibodies 13 00038 i013−0.1575Antibodies 13 00038 i014−0.17170.3864
EstragoleAntibodies 13 00038 i015−0.1523Antibodies 13 00038 i016−0.21411.6816
FenchoneAntibodies 13 00038 i017−0.1605Antibodies 13 00038 i018−0.19070.8218
Table 8. Chemical reactivity factors “µ”, “χ”, “η”, “ζ”, “ψ” have been accomplished using the following equations for achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
Table 8. Chemical reactivity factors “µ”, “χ”, “η”, “ζ”, “ψ” have been accomplished using the following equations for achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone.
Compoundsµ = (EHOMO + ELUMO)/2χ = –(EHOMO + ELUMO)/2η = (ELUMO–EHOMO)/2ζ = 1/(2η)ψ = µ2/(2η)
Achilin−4.46944.46943.744950.13352.6670
alkannin−2.78912.78912.019050.24761.9264
cuminaldehyde−4.03004.03001.616350.30935.0239
dillapiole−4.47904.47900.19322.588051.9188
estragole−4.98514.98510.84080.594714.7783
fenchone−4.77834.77830.84080.594713.5776
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Mollaamin, F. Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms. Antibodies 2024, 13, 38. https://doi.org/10.3390/antib13020038

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Mollaamin F. Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms. Antibodies. 2024; 13(2):38. https://doi.org/10.3390/antib13020038

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Mollaamin, Fatemeh. 2024. "Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms" Antibodies 13, no. 2: 38. https://doi.org/10.3390/antib13020038

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Mollaamin, F. (2024). Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms. Antibodies, 13(2), 38. https://doi.org/10.3390/antib13020038

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