Insilico Molecular Docking and Pharmacokinetic Studies of Selected Phytochemicals With Estrogen and Progesterone Receptors as Anticancer Agent for Breast Cancer

Structure-based virtual screening of anti-breast cancer compounds from Artemisia absinthium-insights through molecular docking, pharmacokinetics, and molecular dynamic simulations

Breast cancer is the world's second most frequent malignancy, with a significant mortality and morbidity rate. Nowadays, natural breast cancer medicine has piqued attention as disease-curing agent with low side effects. Herein, the leaf powder of Artemisia absinthium was extracted with ethanol, and GC-MS and LC-MS methods were employed to identify the phytocompounds. Using commercial software SeeSAR-9.2 and StarDrop, identified phytocompounds were docked with estrogen and progesterone breast cancer receptors as they promote breast cancer growth to find the binding affinity of the ligands, drugability, and toxicity. Hormone-mediated breast cancer accounts for about 80% of all cases of breast cancer. Cancer cells proliferate when estrogen and progesterone hormones are attached to these receptors. The molecular docking results demonstrated that 3',4',5,7-Tetrahydroxyisoflavanone (THIF) has stronger binding efficacy than standard drugs and other phytocompounds with -28.71 (3 hydrogen bonds) and -24.18 kcal/mol (6 hydrogen bonds) binding energies for estrogen and progesterone receptors, respectively. Pharmacokinetics and toxicity analysis were done to predict the drug-likeness of THIF which results in good drugability and less toxicity. The best fit THIF was subjected to a molecular dynamics simulation analysis by using Gromacs to analyze the conformational changes that occurred during protein-ligand interaction and found that, the structural changes were observed. The results from MD simulation and pharmacokinetic studies suggested that THIF can be expected that in vitro and in vivo research on this compound may lead to the development of a potent anti-breast cancer drug in the future.Communicated by Ramaswamy H. Sarma.

Phytocompound identification of aqueous Zingiber officinale rhizome (ZOME) extract reveals antiproliferative and reactive oxygen species mediated apoptotic induction within cervical cancer cells: an in vitro and in silico approach

The prevalence of cervical cancer in women is in the fourth position among various other types of cancer globally. Many established therapies, including surgery, chemotherapy, and immunomodulation, are present, but high levels of side effects cause mortality and morbidity among the patients. Zingiber officinale rhizome (ZOME) has been potentially used to cure a variety of ailments and diseases. The aqueous ZOME extract also contains ample phytochemical constituents having anticancer effects on different cancers. The cell viability of HeLa cells was evaluated using MTT assay with IC50 at 97 µg/mL. Furthermore, a significant level of ROS generation causes the apoptosis of the cells. Nuclear staining dye DAPI and Hoechst 33342 showed DNA's fragmented and condensed form. Propidium Iodide staining showed necrotic or late-apoptotic cells. While acidic organelle dye LysoTracker and MitoTracker dye along with dual staining showed significant results. In silico studies were carried out using identified phytochemicals from GC-MS analysis with pharmacokinetics properties (ADMET), and targeted toward receptor proteins for molecular docking. Ligands with high docked scores were subjected to molecular dynamics simulations at 310 K for 100 ns. In vitro and in silico investigations in our studies showed that aqueous ZOME extract can be used as an efficient therapy against cervical cancer treatment as it showed significant cytotoxic and antiproliferative effects toward the HeLa cell line.Communicated by Ramaswamy H. Sarma.

Catechin from Anonna senegalensis is a Potential Inhibitor of Erectile Dysfunction: Implication for Its Use in Male Sexual Enhancement

Erectile dysfunction (ED) is a major challenge for men. The drugs for its treatment are associated with side effects. Hence, in phytomedicinal research, where Anonna senegalensis (A. senegalensis) is a candidate with abundant phytochemicals possessing various pharmacological properties, but the sex-enhancing phytochemical is elusive in the literature. This study aimed to understand the molecular interaction of its potent molecule mediating male sexual enhancement. A library of 69 compounds from A. senegalensis was docked against the ED-targeted proteins. Sildenafil citrate was used as the reference standard. Thereafter, the lead compound was screened for drug-likeness by applying the Lipinski rule of 5 (RO5), pharmacokinetic properties, and bioactivity using SwissADME and Molinspiration web servers, respectively. The results show catechin as the lead phytochemical compound with a stronger binding affinity for most of the proteins of ED. Also, catechin demonstrates good compliance with the RO5, great pharmacokinetic profiles, and could be said to be a polypharmacological molecule with good bioactivity scores. The research findings unravel the potential of catechin (a phytochemical belonging to the flavonoids class) from A. senegalensis leaf as a potential male sexual enhancement molecule via its high binding affinity for most erectile dysfunction-targeted proteins. They may require further toxicity and therapeutic evaluations in vivo.

In Silico Study of Thiourea Derivatives as Potential Epidermal Growth Factor Receptor Inhibitors

Over the years, the escalation of cancer cases has been linked to the resistance, less selectivity, and toxicity of available anticancer drugs to normal cells. Therefore, continuous efforts are necessary to find new anticancer drugs with high selectivity of epidermal growth factor receptor tyrosine kinase (EGFR-TK) as a therapeutic target. The EGFR-TK protein has a crucial role in cell proliferation and cancer progression. With about 30% of cancer cases involved with the protein, it has piqued the interest as a therapeutic target. The potential of theoretically designed thiourea derivatives as anticancer agents in this report was evaluated against EGFR-TK via in silico techniques, including molecular docking (AutoDock Vina), molecular dynamics simulations (GROMACS), pharmacokinetics, and drug-likeness properties (SwissADME and Molinspiration). New hybrid molecules of the thiourea derivative moiety were designed in this study based on the fragment-based drug discovery and linked with diverse pharmacophoric fragments with reported anticancer potential ([Formula: see text]) and the modification of the methyl position on phenyl ring ([Formula: see text]). These fragments include pyridine, thiophene, furan, pyrrole and styrene groups. Out of 15 compounds, compound 13 displayed the most potent inhibitory activity, with the lowest binding affinity in docking of [Formula: see text]8.7 kcal/mol compared to the positive control erlotinib of [Formula: see text]6.7 kcal/mol. Our molecular dynamics (MD) simulations revealed that molecule 13, comprising styrene and 2-methylphenyl substituents on [Formula: see text] and [Formula: see text], respectively, showed adequate compactness, uniqueness and satisfactory stability. Subsequently, the absorption, distribution, metabolism, excretion and toxicity (ADMET) properties and drug-likeness properties also indicate that this theoretically designed inhibitor ( 13) is less toxic and contains high druggable properties. Thus, compound 13 could be promising against EGFR-TK.

Insighting isatin derivatives as potential antiviral agents against NSP3 of COVID-19

The world is now facing intolerable damage in all sectors of life because of the deadly COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2. The discovery and development of anti-SARS-CoV-2 drugs have become pragmatic in the time needed to fight against this pandemic. The non-structural protein 3 is essential for the replication of transcriptase complex (RTC) and may be regarded as a possible target against SARS-CoV-2. Here, we have used a comprehensive in silico technique to find potent drug molecules against the NSP3 receptor of SARS-CoV-2. Virtual screening of 150 Isatin derivatives taken from PubChem was performed based on their binding affinity estimated by docking simulations, resulting in the selection of 46 ligands having binding energy greater than -7.1 kcal/mol. Moreover, the molecular interactions of the nine best-docked ligands having a binding energy of ≥ -8.5 kcal/mol were analyzed. The molecular interactions showed that the three ligands (S5, S16, and S42) were stabilized by forming hydrogen bonds and other significant interactions. Molecular dynamic simulations were performed to mimic an in vitro protein-like aqueous environment and to check the stability of the best three ligands and NSP3 complexes in an aqueous environment. The binding energy of the S5, S16, and S42 systems obtained from the molecular mechanics Poisson-Boltzmann surface area also favor the system's stability. The MD and MM/PBSA results explore that S5, S16, and S42 are more stable and can be considered more potent drug candidates against COVID-19 disease.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11696-022-02298-7.

Computational virtual screening and structure-based design of some epidermal growth factor receptor inhibitors

Background

The foremost cause of cancer mortality worldwide was lung cancer. Lung cancer is divided into small cell lung cancer and non-small cell lung cancer (NSCLC). The latter is the main type of lung cancer that account for about 90% of the cancer issues and estimate about 25% of the cancer mortality each year in the world. Among the types of lung cancer with about 1.5 million patients and less than 20% survival rate is NSCLC. Overexpression of EGFR tyrosine kinase was recognized to be the cause of NSCLC. Therefore, there is a need to develop more EGFR inhibitors due to drug-resistance development by the mutation.

Result

Computational virtual screening on some epidermal growth factor receptor inhibitors (EGFRL858R/T790M inhibitors or NSCLC therapeutic agents) against their target protein (EGFR tyrosine kinase receptor pdb entry 3IKA) was performed via molecular docking simulation and pharmacokinetics to identify hit compounds with a promising affinity toward their target. The hit compounds discovered were compound 22 with −9.8 kcal/mol, 24 with −9.7 kcal/mol, 17 with −9.7 kcal/mol, and 19 with −9.5 kcal/mol respectively. These lead compounds were further subjected to drug-likeness and ADME prediction and found to be orally bioavailable. Six (6) new EGFRL858R/T790M inhibitors using compound 22 with the highest binding affinity as a template were designed.

Conclusion

The six newly EGFRL858R/T790M inhibitors were found to have a better binding affinity than the template used in the designing process and AZD9291 (the positive control). None of the designed compounds was found to violate more than the permissible limit set by RO5 thereby predicting their easy transportation, absorption, and diffusion. More so, the designed compounds were found to have good synthetic accessibility which indicates that these designed compounds can be easily synthesized in the laboratory.

Computer-aided molecular modeling studies of some 2, 3-dihydro-[1, 4] dioxino [2, 3-f] quinazoline derivatives as EGFRWT inhibitors

Background

Quinazoline are known to possess different biological activities which among is anti-cancer most especially NSCLC. Epidermal growth factor receptor (EGFR) belongs to the receptor tyrosine kinases (RTKs) family, which is known to be one of the most important therapeutic targets for the treatment of cancer most especially NSCLC.

Results

QSAR modeling was performed to develop a model with high predictive power on some non-small cell lung cancer agents (NSCLC) (EGFRWT inhibitors). The EGFRWT inhibitors were optimized using density functional theory (DFT) method utilizing B3LYP/6-31G* level of theory. Genetic function algorithm (GFA) was used to build five models. Out of these five models, the studied one was selected and reported because of its fitness statistically with the following validation parameters: R2trng = 0.9459, R2adj = 0.9311, Q2cv = 0.8947, R2test = 0.7008, and LOF = 0.1195. The selected model was further subjected to other validation test such as VIF and Y-scrambling test applicability domain and found to be statistically significant. The kind of interactions between five most active EGFRWT inhibitors and EGFRWT enzyme were explored via molecular docking. Molecule 4 was ranked top in comparison to other ligands because it has the highest docking score of − 8.3 kcal/mol. The pharmacokinetics studies indicated that these molecules have good absorption, low toxicity level, and permeability properties because none of them violate the Lipinski’s rule of five.

Conclusion

A model with a very high predictive power on some EGFRWT inhibitors was developed using QSAR model. The model was validated and found to have good internal and external assessment parameters: R2 of 0.9459, R2adj of 0.9311, Qcv2 of 0.8947, R2test of 0.7008, and LOF of 0.1195. The nature of interaction of these molecules with their target protein was explored via molecular docking and found molecule 4 to have the highest docking score of − 8.3 kcal/mol among co-ligands. Pharmacokinetics studies revealed that these molecules have good absorption, low toxicity level, and permeability properties. These findings proposed a way for designing potent EGFRWT inhibitors against their target enzyme.