COMPUTER-BASED SCREENING OF THE ANTICANCER PROPERTY OF SELECTED PANAX GINSENG PHYTO-LIGANDS
HTML Full TextCOMPUTER-BASED SCREENING OF THE ANTICANCER PROPERTY OF SELECTED PANAX GINSENG PHYTO-LIGANDS
Ezekiel A. Olugbogi *, Olaposi I. Omotuyi, Kolawole T. Mesileya, Damilola S. Bodun, Shola D. Omoseeye, Anita O. Onoriode, Favour O. Oluwamoroti, Joshua F. Adedara, Isaac A. Oriyomi, Fatimat O. Bello, Favour O. Olowoyeye, Oluwatomilola G. Laoye, Damilola B. Adebowale, Aanuoluwapo D. Adebisi , Mark-Solomon C. Ogologo, Obinna C. Etukokwu, Ifeanyichukwu O. Onyemaobi, Salim Y. Jibril and Precious C. Onyeka
Molecular Biology and Simulation Center, Ado-Ekiti, Ekiti State, Nigeria.
ABSTRACT: It cannot be overstated that the rate at which cancer uses glucose for proliferation is one of the many variables contributing to the alarmingly high mortality rate of cancer over time. Cancerous cells can survive because of this. However, a significant therapeutic strategy for malignant cells may involve the blockage of several glucose transporters, including glut 4 encoded by the solute carrier family-2-member-4-gene (Slc2a4) by certain phytochemicals from Panax ginseng. The top ten phytochemicals obtained from the PubChem database in SDF format with the lowest binding energies of these compounds wit SGLUT4 were selected as possible inhibitors of GLUT4 from Panax. Glut 4 complexed with cytochalasin B was retrieved from the protein data bank (Rcsb.pdb). Schrodinger, online tools such as ProTOX, swissAdmet and Spartan 10.1 were used to examine the samples' Mmgbsa, Admet characteristics, drug-likeness, toxicity prediction and DFT. The results of this in-silico study showed that the docking scores of the 10 compounds were higher than those of the co-crystallized compound. The Lipinski rule of five (RO5) and the ADMET property revealed that seven out of ten compounds did not violate any of the rule's requirements for oral drug ability, while two compounds did so. Quercetin, however, was discovered to have a higher docking score than Cytochalasin B and to have broken no rules of the RO5. These in-vitro investigations suggest that Quercetin, in particular, could be a strong therapeutic agent with greater therapeutic efficacy than Cytochalasin B in the therapy of cancer by inhibiting GLUT4.
Keywords: Cancer, Phyto-ligand, Pharmacokinetics, Panax Ginseng, Glucose Transporter 4 (GLUT-4), In-silico and Density functional theory (DFT)
INTRODUCTION: With a record of about ten million fatalities in the year 2020 1 and ranking as the second most common cause of death in many nations, cancer is a disease with some components that makes finding a solution nearly hard.
Problems, such as the different elements that cause it and the fact that these factors do not express themselves in each cause of cancer with a uniform pathway across all cancer types are confronted in the search for a solution to cancer 2. However, a select few variables are mostly responsible for cancer. These elements have been tracked and found to play a role in the development of several cancer types. The most common reasons include genetic mutation, lifestyle and food, radiation, and hormonal variables. Fundamentally, cancer is brought on by genetic alteration. Cancer is a hereditary illness that is brought on by a combination of internal genetic problems and exposure to environmental stimuli. When DNA is exposed to carcinogenic substances, the sickness starts at the cellular level and finally changes DNA 3.
Some substances can cause cancer and mutation in the meals we eat. However, studies have shown that eating plenty of fruits and vegetables can lower your risk of developing cancer, especially since these plants have been found to contain some anti-cancer components. You can also lower your risk of developing cancer by staying physically active and maintaining a healthy weight 4, 5, 6.
Red meat, dairy milk, salted, smoked foods, alcohol, and processed milk have all been identified as indicators of cancer 6. Breast cancer, for example, is mostly brought on by hormonal imbalance 7. Early menstruation, late menopause, puberty-related obesity, high estrogen levels in postmenopausal women and not breastfeeding are all examples of hormonal imbalances that increase women's chances of developing cancer 8, 9, 10, 11, 12, 13.
Certain therapeutic options have been developed over the years of this life-threatening disease. A clinically proven medication for managing and treating cancer is metformin. Numerous statistical findings have supported this claim. Metformin prevents malignant cells from proliferating and multiplying. There are two known pathways by which it operates: either by the I/IGF pathway, which inhibits the growth of cancer by reducing I/IGF-1 in the blood, which inactivates its downstream signaling pathway, or by the AMPK pathway, which enables the common drug metformin to act directly on cancer cells by raising AMPK levels and inhibiting mTOR 14, 15.
Another common treatment for this disease is chemotherapy, however, because of its numerous negative effects, it is not generally advised 16. The challenge in treating cancer is identifying and destroying cancer cells while overcoming drug resistance 17, 18. In response to these setbacks, a recent finding by Mohamed Yafout 19, suggested that chemotherapeutics might be mounted onto gold nanoparticles because they have the precise size and surface qualities to transport the drugs to the target site.
GLUT-4 Inhibition: Glut-4, one of the body's 14 different types of glucose transporters, is mostly present in adipose tissues and skeletal muscle cells. It plays a role in the process by which glucose enters cells from the blood 20, 21, 22.
The majority of Glut 4 transporters are found embedded inside intracellular components of the cells, but when activated, they induce Glut 4 to move to the plasma membrane, opening the possibility of glucose influx into the cells in the future 23.
Glycolytic processes are substantially enhanced during the development of cancer cells, and this promotes the spread and growth of tumors in the cells 24, 25, 26. Reviews demonstrate that these tumors have significantly elevated levels of glut 1 and glut 4. Insulin signaling is crucial for glut 4 translocation to the plasma membrane.
In cancer chemotherapy, glucose transporter 4 (GLUT-4) inhibitors and antagonists are employed as treatments 27. Cancer cells eat more glucose to support the metabolic processes essential to their survival, development, and proliferation. The high-affinity glucose transporters GLUTs-1 and 4 are among the fourteen SLC2A family members. GLUT-4 is abundantly expressed in adipose tissue and muscles 22.
Panax Ginseng: The genus Panax includes the perennial plant ginseng (Araliaceae family).
The genus Panax (Panax quinquefolium L.) has more than twelve distinct species of ginseng. The two most well-known species among them, Asian ginseng and American ginseng are frequently employed for their therapeutic benefits 30 as shown in Fig. 1 and Fig. 2. In East Asia, particularly in China, Korea and Japan, Asian ginseng (Panax ginseng) root has been extensively used for thousands of years as an important source of natural medicine.
FIG. 1: PANAX GINSENG DISPLAYING ITS FRUIT, TREES AND ROOTS 28
FIG. 2: PANAX GINSENG 29
METHODS:
Ligands and Protein: As previously documented in literature reviews on the plant's phytochemicals, 96 compounds were found in Panax ginseng extracts. The 2D structures of these compounds were downloaded from the online databases Pubchem and ChemDraw Ultra (RRID: SCR 016768). The ligands were docked to a Cytochalasin B and GLUT 4 complexed human crystal (PDB ID: 7WSM). A protein data bank was used to get the protein. (http://www.rcsb.org). The 2-Dimensional Structures of the 96 ligands were imported and prepared using the ligprep tool.
Molecular Docking: The computer-based drug test was conducted using Maestro 11.1 and Schrödinger Suite software 31. It generated a glide grid. The docking process utilizes the HTVS (high throughput virtual screening) and XP precisions (extra precision). The top ten ligands with the lowest docking scores were docked once again utilizing additional precision after all ligands produced from the plant Panax ginseng were docked using HTVS docking for screening (XP). The scores for docking were calculated in Kcal/mol.
MM/GBSA: The docked protein-ligand complex binding free energy was calculated using the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) continuum solvent model as part of the computer-based drug design process. The OPLS3 force field, the VSGB solvent model, and rotamer search methods from Prime were combined to complete this project.
ADME Analysis: The ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) parameters were calculated on Maestro using the Qikprop program. ADMET we measured variables such as molecular weight, log P, Lipinski's rule of five violations, topological polar surface area, and the number of hydrogen bond acceptors and donors. ADMET pharmacological parameters clearly describe the pharmacokinetics and Pharma-codynamic profiles of therapeutic molecules.
Density Functional Theory (DFT): The molecular characteristics of a few Panax compounds were evaluated using quantum chemical calculation using density functional theory to anticipate the biological activities of the top-ranked compounds (DFT). After the molecules underwent a conformer distribution calculation, the most stable conformer was picked for the DFT analysis in vacuum usage ng Spartan 10 computational chemistry software. The thermodynamic parameters, EHOMO and ELUMO were computed. The global reactivity descriptors and other characteristics were generated from the EHOMO and ELUMO values. The energy bandgap was calculated from the difference between ELUMO and EHOMO (Eg).
Eg = ELUMO-EHOMO (1)
While Koopman's theory connects the Ionization energy (I) and Electron Affinity (A) to EHOMO and ELUMO (Koopmans, 1993).
I = -EHOMO (2)
A = -ELUMO (3)
χ =1+A / 2 (4)
η = 1-A / 2 (5)
δ =1 / n (6)
Pharmacokinetics and Drug Likeness Analysis: Using the first 10 compounds with the lowest docking scores retrieved from the PubChem database, a web-based tool called SwissADME (https://www.swissadme.ch/) and Pro-Tox (https://tox-new.charite.de/protox-II/) were used to test the drug likenesses potential of the compound of the plant, Panax ginseng. The isomeric grins of the compound on the PubChem database were extracted to produce the toxicity values. The isomeric smiles were then copied onto the Swiss ADME website to gather data on bioavailability, oral absorption, the gut-blood barrier, metabolic reactions, Cytochrome P450 reactions, and their capacity to penetrate the blood-brain barrier. All these are pharmacological parameters that are the general template for accessing the affinity of chemical compounds to be further developed as potential drugs.
Each toxicology parameter was predicted by pasting its isomeric grins and choosing the different particular toxicity parameters using the tox prediction option. This process is also derived from toxicology parameters such as mutagenicity, hepatotoxicity, and carcinogenicity.
RESULTS:
TABLE 1: ADME ANALYSIS
Entry Name | Docking Score | XP GScore | MMGBSA dG | QP Log HERG | QPPCaco | QPlogBB | QPPMDCK | QPLOG7Khsa | Rule of Five |
Epigallocatechin galate | -14.063 | -14.122 | -34.471 | -5.412 | 0.804 | -4.333 | 0.223 | -0.515 | 2 |
Ginsenoside Rh 1 | -13.312 | -13.312 | -59.497 | -4.469 | 55.862 | -2.625 | 21.884 | 0.14 | 2 |
Myricetin | -10.042 | -10.054 | -47.643 | -4.868 | 7.16 | -2.853 | 2.375 | -0.495 | 1 |
Quercetin | -9.852 | -9.863 | -51.274 | -4.922 | 20.4 | -2.31 | 7.366 | -0.358 | 0 |
Catechin | -9.545 | -9.545 | -39.293 | -4.804 | 53.333 | -1.899 | 20.815 | -0.426 | 0 |
Apigenin | -9.323 | -9.339 | -35.795 | -5.088 | 117.104 | -1.432 | 48.707 | -0.045 | 0 |
Hesperitin | -8.719 | -8.734 | -54.406 | -5.048 | 121.621 | -1.531 | 50.74 | -0.006 | 0 |
Genistein | -8.635 | -8.647 | -40.813 | -4.909 | 167.424 | -1.3 | 71.678 | -0.119 | 0 |
Kaempferol | -7.961 | -7.972 | -46.832 | -4.988 | 58.447 | -1.78 | 22.981 | -0.211 | 0 |
Formononetin | -7.88 | -7.889 | -42.158 | -5.001 | 392.675 | -0.892 | 180.114 | -0.159 | 0 |
Cytochalasin B (co-crystallized) | -6.635 | -6.635 | -48.971 | -3.998 | 190.425 | -1.233 | 136.384 | 0.547 | 0 |
TABLE 2: HYDROGEN BONDS AND HYDROPHOBIC INTERACTIONS OF THE HIT PHYTOCHEMICALS
Entry Name | H-bond | Hydrophobic interacting amino acids | Other interactions |
Epigallocatechin galate | NONE | PRO 165, ILE 163, PHE 29, VAL 28, ALA 27, LEU 26, VAL 25, LEU 24, LEU 247, LEU 172, PRO 224, CYS 223, PHE 222 | NONE |
Rh1
|
TRP 428, SER 153 | ILE 303, ILE 42, ILE 180, VAL 181, ILE 184, PHE 395, PHE 38, PHE 307, PRO 401, TRP 404, MET 420, TRP 428, PRO 157, ILE 99 | NONE |
Myricetin
|
ASN 413, ASN 304 | PHE 307, TYR 308, PHE 395, ILE 303, ILE 42, PHE 88, TRP 428, PHE 39, TRP 404, PRO 157 | Pi Pi Stack: TRP 428, |
Quercetin
|
ASN 431, ASN304, SER 153 | ILE 42, PHE 307, TYR 308, ILE 180, PHE 38, TRP 428, ILE 99, PRO 157, TRP 404 | Pi Pi Stack: PHE 38 |
Catechin
|
GLN 299, GLH 396 |
TRP 428, PHE 38, PHE 307, PHE 395, ILE 180, VAL 181, ILE 184, ILE 42 | Pi Pi Stack: PHE 38 |
Apigenin
|
GLH 396, ASN 431, ASN 304 | PHE 395, ILE 180, VAL 181, ILE 184, PHE 38, PHE 307, TYR 308, TRP 428, TRP 404, PRO 401. | NONE |
Hesperitin
|
TRP 404, GLN 298, TRP 428, ASN 431 | TRP 404, PHE 395, ILE 42, PHE 38, TRP 428, MET 420, ALA 421, ILE 99 | Pi Pi Stack: TRP 428 |
Genistein
|
TRP 404, GLN 298, GLY 400, GLH 396 | TRP 428, TRP 404, PRO 401, PRO 399, PHE 395, VAL 181, ILE 180, PHE 38 | NONE |
Kaempferol
|
ASN 431 | ILE 42, TRP 428, PHE 38, ILE 180, PRO 157, TRP 404 | Pi Pi Stack: ASN 431 |
Formononetin | ASN 431
|
TRP 428, ILE 42, ILE 180, PRO 157, ILE 99, TRP 404, PHE 38 | NONE |
FIG. 3: XP GSCORE OF THE TOP 10 LIGANDS OF THE PLANT, PANAX GINSENG
FIG. 4: MMGBSA SCORES OF TOP LIGANDS WITH LOWEST DOCKING SCORE
FIG. 5: 2D STRUCTURE AND 3D STRUCTURE OF TOP 10 COMPOUNDS OF THE PLANT, PANAX GINSENG
TABLE 3: IN-SILICO DRUG LIKENESS PREDICTION OF THE COMPOUNDS
Compounds
|
Molecular weight (g/mol) | Num. H bond acceptor | Num. H bond
donor |
TPSA
(Å2) |
ILOGP | Bioavailability Score | Log kP
(cm/s) |
Epigallocatechin galate | 458.37 | 11 | 8 | 197.37 | 1.53 | 0.17 | -8.27 |
Ginsenoside Rh 1 | 638.87 | 9 | 7 | 160.07 | 4.49 | 0.17 | -7.17 |
Myricetin | 318.24 | 8 | 6 | 151.59 | 1.08 | 0.55 | -7.40 |
Quercetin | 302.24 | 7 | 5 | 131.36 | 1.63 | 0.55 | -7.05 |
Catechin | 290.27 | 6 | 5 | 110.38 | 1.33 | 0.55 | -7.82 |
Apigenin | 270.24 | 5 | 3 | 90.9 | 1.89 | 0.55 | -5.80 |
Hesperitin | 302.28 | 6 | 3 | 96.22 | 2.24 | 0.55 | -6.30 |
Genistein | 207.24 | 5 | 3 | 90.80 | 1.91 | 0.55 | -6.05 |
Kaempferol | 286.24 | 6 | 4 | 111.13 | 1.70 | 0.55 | -6.70 |
Formononetin | 268.26 | 4 | 1 | 59.67 | 2.49 | 0.55 | -5.95 |
TABLE 4: TOXICITY AND DRUG-LIKENESS PARAMETERS
Entry Name | GI Absorption | BBB Permeant | P-gp Substrate | CYP3A4
Inhibitor |
Hepatoxicity | Carcinogenicity | Mutagenicity |
Epigallocatechin gallate | Low | No | No | No | Inactive | Inactive | Inactive |
Ginsenoside Rh 1 | Low | No | Yes | No | Active | Inactive | Inactive |
Myricetin | Low | No | No | Yes | Inactive | Active | Active |
Quercetin | High | No | No | Yes | Inactive | Active | Active |
Catechin | High | No | Yes | No | Active | Inactive | Active |
Apigenin | High | No | No | Yes | Active | Inactive | Inactive |
Hesperitin | High | No | Yes | Yes | Inactive | Inactive | Inactive |
Genistein | High | No | No | Yes | Active | Inactive | Inactive |
Kaempferol | High | No | No | Yes | Active | Inactive | Inactive |
Formononetin | High | Yes | No | Yes | Active | Inactive | Inactive |
FIG. 6 DFT RESULTS OF STRUCTURES OF THE LIGANDS IN OPTIMIZED, HOMO AND LUMO FORM
TABLE 5: THE CALCULATED THERMODYNAMIC QUANTITIES (ENTHALPY AND FREE ENERGY), VIA DFT FOR ALL PREDICTED INHIBITORS
Compounds | EHOMO (eV) | ELUMO (eV) | Eg (eV) | I((eV) | A(eV) | η (eV) | δ (eV-1) | χ (eV) |
Epigallocatechin gallate | -5.56 | -1.01 | 4.55 | 5.56 | 1.01 | 2.275 | 0.43956 | 3.285 |
Myricetin | -6.63 | -1.31 | 5.32 | 6.63 | 1.31 | 2.66 | 0.37594 | 3.97 |
Quercetin | -5.47 | -1.84 | 3.63 | 5.47 | 1.84 | 1.815 | 0.550964 | 3.655 |
Catechin | -6.85 | -1.94 | 4.91 | 6.85 | 1.94 | 2.455 | 0.407332 | 4.395 |
Apigenin | -5.91 | -1.73 | 4.18 | 5.91 | 1.73 | 2.09 | 0.478469 | 3.82 |
Hesperetin | -5.63 | 0.08 | 5.71 | 5.63 | -0.08 | 2.855 | 0.350263 | 2.775 |
Genistein | -5.7 | -1.5 | 4.2 | 5.7 | 1.5 | 2.1 | 0.47619 | 3.6 |
Kaempferol | -5.48 | -1.84 | 3.64 | 5.48 | 1.84 | 1.82 | 0.549451 | 3.66 |
Formononectin | -6.04 | -1.43 | 4.61 | 6.04 | 1.43 | 2.305 | 0.433839 | 3.735 |
TABLE 6: THIS INCLUDES THE GIBBS FREE ENERGY, ENTHALPY, MOLECULAR WEIGHT AND ELECTRONIC ENERGY
Compounds | Molecular Weight (AMU) | Electronic Energy(AU) | Enthalpy (AU) | GIBBS Free Energy (Hartree) | Dipole Moment (Debye) |
Epigallacatechin gallate | 458.374 | -1676.61 | -1676.20 | -1676.28 | 4.09 |
Myricetin | 164.16 | -573.42 | -573.26 | -573.30 | 6.37 |
Quercetin | 318.24 | -1179.39 | -1179.14 | -1179.20 | 1.51 |
Catechin | 148.61 | -498.21 | -498.06 | 498.10 | 5.28 |
Apigenin | 270.24 | -953.74 | -953.50 | -953.56 | 5.05 |
Hesperetin | 290.27 | -1031.33 | -1031.04 | -1031.10 | 3.56 |
Genistein | 270.24 | -953.77 | -953.50 | -953.55 | 1.29 |
Kaempferol | 302.238 | -1104.18 | -1103.93 | -1103.99 | 0.22 |
Formononectin | 272.26 | -954.97 | -954.68 | -954.74 | 2.61 |
DISCUSSION: Cancerous cells have been shown to consume more biological fuel, which promotes their survival, growth, and multiplication. Since cancer cells produce GLUT4 at higher levels than normal cells do, inhibiting GLUT4 may have chemotherapy-like effects. This study used a computational screen to determine the binding affinity of several Phyto-ligands from Panax ginseng that have been claimed to have some anticancer properties. Overall, computer studies have reduced the possibility of a drug failing in the late stages of development.
Docking / MMGBSA: The compounds with the best MM/GBSA screening findings and docking scores are visually represented in Fig. 4 and 3 and Table 1, respectively. Fig. 5 displays the 2D and 3D structures of the hit compounds. In Fig. 5, the binding posture and interactions of hit compounds with the amino acid residues in the active site of 7WSN and the amino acid residues depicted in the interaction are analyzed as part of the post-docking analysis of the docking experiment. The ADME/Tox screening outcomes to predict the characteristics of the hit compounds' drug-likeness are also shown in Tables 3 and 4.
For their ability to inhibit the target protein GLUT4, the selected phytoligands from Panax ginseng were docked with enhanced precision (XP) in the protein's binding pocket. We examined the crucial amino-acid interactions in the GLUT4 binding region as well as the structural interactions between the top molecules 31.
According to Table 1, the top ten ligands had docking scores ranging from -7.88 and -42.158 for Formononetin, the co-crystallized Cytochalasin B, and -6.635 and -48.971 for Epigallocatechin gallate, the lead chemical, with the lowest binding energy of -14.063kcal/mol and an MM-GBSA score of -34.471. Interactions are shown in detail in Table 2. MM-GBSA is used as a computational thermodynamics tool to evaluate the binding affinity of substances. Prior research has shown that the Prime module of the Schrodinger suite's MM-GBSA algorithm provides a reliable statistical post-docking analysis of docked complexes, with the lower the score, the higher the binding. Epigallocatechin gallate, Ginsenoside Rh 1, Myricetin, Catechin, Apigenin, Hesperitin, Genistein, Kaempferol, and Formononetin all have relative free binding energies of -34.471, -59.497, -47.643, -51.274, -39.293, -35.795, -54.406, -40.813, -46.832, and -42.158 Table 1. Some of the bioactive compounds in issue had higher binding energy than the reference molecule, according to the MM-GBSA data (Cytochalasin B -48.971).
ADME-Tox: Bioavailability is the percentage of an unaltered medication that enters the systemic circulation after being administered via any method 32. A substance is considered to have low oral bioavailability if its bioavailability score is lower than 0.5. If the score is more than 0.5, the substance is anticipated to have a high oral bioavailability. Using SWISS ADME, the bioavailability values of Epigallocatechin gallate, Ginsenoside Rh 1, Myricetin, Quercetin, Catechin, Apigenin, Hesperitin, Genistein, Kaempferol, and Formononetin range from 0.17 to 0.55, whereas Epigallocatechin gallate and Ginsenoside Rh 1 have a low bioavailability score of 0.17. This suggests that the majority of the phyto-ligands are likely candidates for use as medications.
As demonstrated in Table 4, additional toxicity indicators, including mutagenicity, hepatotoxicity, and carcinogenicity, were assessed and researched.
Frontier Molecular Orbitals (FMOs): The energies of the FMOs provide insight into the reactivity of the compounds. In contrast to the LUMO energy, which predicts how a molecule can take electrons, the HOMO energy describes how a molecule can donate electrons. Because they are crucial to the optical electric characteristics of molecules, the FMOs, LUMOs and HOMO orbitals are crucial in molecules. When molecules have high HOMO energy, they are more likely to give electrons, and when they have a low LUMO energy, they are more likely to take electrons, increasing their reactivity 33. According to Table 5, the selected compounds' EHOMO values rise in the following order: Order With values ranging from 5.47 eV to 6.85 eV, the chemicals Catechin, Myricetin, Formononetin, Apigenin, Genistein, Hesperetin, Epigallocatechin gallate, Kaempferol, and Quercetin would likely interact through electron donation. This shows that cinnamic acid interacts more with other chemicals during chemical processes by donating electrons. According to the ELUMO values, which range from 1.94 eV to - 0.08 eV, they would interact by taking in electrons. On the other hand, catechin interacts with chemical reactions more than other substances do by taking electrons. The band gap energy, which lies between the EHOMO and ELUMO and varies from 3.63 to 5.71eV, is crucial for determining the thermochemical reactivity of a molecule. The band gap energy values represent a molecule's chemical stability and reactivity. As the band gap energy rises, the molecule becomes tougher, more stable, and less reactive. A narrowing of the energy band gap indicates increased reactivity and decreased stability. A narrowing of the energy band gap indicates low stability and high reactivity. The values of the energy band gap rise in the following order: Formononetin, Catechin, Myricetin, Hesperetin, Kaempferol, Apigenin, Genistein, Epigallocatechin Gallate.
The global reactivity descriptor was used to determine the compounds' chemical hardness, softness, electronegativity, and chemical potential to verify their reactivity (GRD). Chemical hardness (η) indicates how resistant a molecule is to the deformation of an electron cloud. In contrast to soft molecules, which are more easily polarizable and have a smaller band gap energy than hard molecules, hard molecules have a big energy band gap. The hardest compound was hesperetin, with a hardness value of 2.86 eV, while quercetin had the weakest value at 1.82 eV. All of the compounds under study had electro negativity values that fell within a specific range, with catechin (4.40 eV) having the highest. Electronegativity (χ) is the property of a molecule to attract electrons towards itself in a chemical reaction. In Fig. 6, the Optimized, HOMO and LUMO structures of the compound were shown. Electronic affinities for our projected inhibitors range from -0.08 to 1.94 eV. The capacity to create an anion is greatest in catechin. With a value of 6.85 eV, it has the highest potential for electron loss among all ionization energies. The calculated thermodynamic quantities (enthalpy and free energy), via DFT for all predicted inhibitors are presented in Table 5 and 6 including their molecular weight.
CONCLUSION: According to reports, Panax ginseng has some anti-diabetic properties and may one day be utilized to treat diabetes. Oyinloye’s paper on the impact of GLUT4 antagonists on cancer cells was also included 27. As a result, this study's computational analysis of some of Panax ginseng's anti-cancer phyto-ligands provided the foundation for its findings. The phyto-ligands' poor docking scores suggest that they have a high potential for inhibiting glucose transporter 4 activity. Compared to the co-crystallized molecule, ten bioactive components from Panax ginseng were found to have a high binding affinity for the target 7WSN (Cytochalasin B).
Declaration: None.
Ethics Approval and Consent to Participate: The study was approved by the Ethical unit of Molecular Biology and Simulation Center, Ado-Ekiti, Ekiti State, Nigeria, with a reference number of MSERB/CADD/ NHNAS/2022/07.
Consent for Publication: Not Applicable.
Availability of Data and Material: The data underlying this article are available in the article and its online supplementary material.
Funding: This research received no external funding.
ACKNOWLEDGMENT: We acknowledge the management of the research unit (MOLS & SIMS) for the provision of the needed facilities for this research work and the indefatigable Mrs. O.peyemi Y. Omotuyi (PPh.D. for her steady support and care.
CONFLICT OF INTEREST: The authors declare that there is no conflict of interest regarding the publication of this paper.
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How to cite this article:
Olugbogi EA, Omotuyi OI, Mesileya KT, Bodun DS, Omoseeye SD, Onoriode AO, Oluwamoroti FO, Adedara JF, Oriyomi IA, Bello FO, Olowoyeye FO, Laoye OG, Adebowale DB, Adebisi AD, Ogologo MC, Etukokwu OC, Onyemaobi IO, Jibril SY and Onyeka PC: Computer based screening of the anticancer property of selected panax ginseng phyto-ligands. Int J Pharm Sci & Res 2023; 14(4): 1714-27. doi: 10.13040/IJPSR.0975-8232.14(4).1714-27.
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IJPSR
Ezekiel A. Olugbogi *, Olaposi I. Omotuyi, Kolawole T. Mesileya, Damilola S. Bodun, Shola D. Omoseeye, Anita O. Onoriode, Favour O. Oluwamoroti, Joshua F. Adedara, Isaac A. Oriyomi, Fatimat O. Bello, Favour O. Olowoyeye, Oluwatomilola G. Laoye, Damilola B. Adebowale, Aanuoluwapo D. Adebisi , Mark-Solomon C. Ogologo, Obinna C. Etukokwu, Ifeanyichukwu O. Onyemaobi, Salim Y. Jibril and Precious C. Onyeka
Molecular Biology and Simulation Center, Ado-Ekiti, Ekiti State, Nigeria.
olugbogiezekiel@gmail.com
16 August 2022
25 September 2022
20 November 2022
10.13040/IJPSR.0975-8232.14(4).1714-27
01 April 2023