Bioactive compounds from Morchella esculenta as potential inhibitors of RNA-binding protein La in ovarian cancer: a molecular modeling and quantum mechanics approach.

La protein is significantly expressed in various malignant tumors, including ovarian cancer (OC), which is related to the poor response to platinum-based chemotherapy. Thus, inhibiting La protein could control the expression of the potential downstream genes involved in promoting proliferation and chemotherapy resistance to OC, which could serve as a therapeutic intervention. Through a molecular docking approach, 12 compounds from Morchella esculenta were screened against the crystal structure of La protein and four hit compounds were identified, including beta-carotene, p-hydroxybenzoic acid, gamma-tocopherol, and alpha-tocopherol, with a binding affinity of - 10.7, - 8.1, - 7.9, and - 7.6 kcal/mol, respectively, higher than pyridine-2-carboxylate (control), with a binding affinity of - 5.2 kcal/mol. To explore the interaction of the hit compounds with the target receptor, they were selected for a molecular dynamic simulation and post-simulation analysis for 100 ns. The result showed promising reliability of the ligands due to a stable interaction with the La protein crystal structure. Furthermore, the drug-likeness and physicochemical chemical properties of the compounds were investigated using ADMET study and density functional theory analysis, respectively, and the result shows that the hit compounds could serve as a promising starting for the development of novel LA protein inhibitors for OC therapeutics. Finally, this study compared HOMO and LUMO values from global hybrids with long-range corrected DFAs, and the result from the two followed the same qualitative pattern while calculating HOMO values; however, MO62X/cc-pVTZ could better predict LUMO values when considering a global hybrid.

Identification of bioactive compounds from Vaccinium vitis-idaea L. (Lingonberry) as inhibitors for treating KRAS-associated cancer: a computational approach.

Lung cancer is the cancer of the lung's epithelial cells typically characterized by difficulty breathing, chest pain, blood-stained coughs, headache, and weight loss. If left unmanaged, lung cancer can spread to other body parts. While several treatment methods exist for managing lung cancer, exploring natural plant sources for developing therapeutics offers great potential in complementing other treatment approaches. In this study, we evaluated the bioactive compounds in Vaccinium vitis-idaea for treating KRAS-associated lung cancer types. In this study, we concentrated on inhibiting the mutated Kirsten rat sarcoma viral oncogene homolog (KRAS) by targeting an associated protein (Phosphodiesterase 6δ) to which KRAS form complexes. We evaluated bioactive compounds from Lingonberry (Vaccinium vitis-idaea L.), adopting computational approaches such as molecular docking, molecular dynamics simulation, molecular mechanics/generalized Born surface area (MM/GBSA) calculations, and pharmacokinetics analysis. A total of 26 out of 39 bioactive compounds of Vaccinium vitis-idaea L. had a higher binding affinity to the target receptor than an approved drug, Sotorasib. Also, further analyses of all lead/top compounds in this study identified (+)-Catechin (Cianidanol), Arbutin, Resveratrol, and Sinapic acid, to be potential drug candidates that could be pursued. In sum, Arbutin, (+)-Catechin, and Sinapic acid are predicted to be the top compound of Vaccinium vitis-idaea L. because of their pharmacokinetic properties and drug-likeness attributes. Also, their stability to the target receptor makes them a potential drug candidate that could be explored for treating KRAS mutation-associated lung cancer. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-023-00165-1.

Computational evaluation of bioactive compounds from Viscum album (mistletoe) as inhibitors of p63 for pancreatic cancer treatment.

Pancreatic ductal adenocarcinoma is an aggressive malignancy usually detectable at the advanced stage, with a 5-year survival rate of less than 8%. It has been reported that a gene called tumor-protein 63 (TP63) is expressed in an aggressive form of pancreatic cancer with a squamous signature. Thus, inhibiting the activity of p63 can be a means of treating and managing PDA. Different studies have shown that plant constituents are rich and can be a promising source for discovering drug candidates. The extract from mistletoe (Viscum album) is known to contain anticancer compounds; however, the specific molecular mechanism of the bioactive compounds is unknown. This study examines the pancreatic cancer therapeutic potential of the bioactive compounds in the flavonoid and phenolic acid constituents of mistletoe by adopting structural bioinformatics and advanced theoretical chemistry techniques via molecular docking, molecular dynamics simulation, molecular mechanics/generalized Born surface area (MM/GBSA) calculations, pharmacokinetic analysis, and density functional theory analysis. The six best compounds from the flavonoid constituent with the highest binding affinity ranging from -6.8 kcal/mol to -6.7 kcal/mol were selected with the control gemcitabine (-5.5 kcal/mol) for further computational analysis after molecular docking. Furthermore, MM/GBSA calculation showed the highest binding energy for the selected docked compounds, which validates their inhibitory potential. Hence, the molecular dynamics simulation, post-simulation analysis, pharmacokinetics model, and DFT results showed that mistletoe compounds are reliable due to their stable interaction with the target protein and drug-likeness properties.Communicated by Ramaswamy H. Sarma.

Discovery of putative inhibitors against main drivers of SARS-CoV-2 infection: Insight from quantum mechanical evaluation and molecular modeling.

SARS-CoV-2 triggered a worldwide medical crisis, affecting the world's social, emotional, physical, and economic equilibrium. However, treatment choices and targets for finding a solution to COVID-19's threat are becoming limited. A viable approach to combating the threat of COVID-19 is by unraveling newer pharmacological and therapeutic targets pertinent in the viral survival and adaptive mechanisms within the host biological milieu which in turn provides the opportunity to discover promising inhibitors against COVID-19. Therefore, using high-throughput virtual screening, manually curated compounds library from some medicinal plants were screened against four main drivers of SARS-CoV-2 (spike glycoprotein, PLpro, 3CLpro, and RdRp). In addition, molecular docking, Prime MM/GBSA (molecular mechanics/generalized Born surface area) analysis, molecular dynamics (MD) simulation, and drug-likeness screening were performed to identify potential phytodrugs candidates for COVID-19 treatment. In support of these approaches, we used a series of computational modeling approaches to develop therapeutic agents against COVID-19. Out of the screened compounds against the selected SARS-CoV-2 therapeutic targets, only compounds with no violations of Lipinski's rule of five and high binding affinity were considered as potential anti-COVID-19 drugs. However, lonchocarpol A, diplacol, and broussonol E (lead compounds) were recorded as the best compounds that satisfied this requirement, and they demonstrated their highest binding affinity against 3CLpro. Therefore, the 3CLpro target and the three lead compounds were selected for further analysis. Through protein-ligand mapping and interaction profiling, the three lead compounds formed essential interactions such as hydrogen bonds and hydrophobic interactions with amino acid residues at the binding pocket of 3CLpro. The key amino acid residues at the 3CLpro active site participating in the hydrophobic and polar inter/intra molecular interaction were TYR54, PRO52, CYS44, MET49, MET165, CYS145, HIS41, THR26, THR25, GLN189, and THR190. The compounds demonstrated stable protein-ligand complexes in the active site of the target (3CLpro) over a 100 ns simulation period with stable protein-ligand trajectories. Drug-likeness screening shows that the compounds are druggable molecules, and the toxicity descriptors established that the compounds demonstrated a good biosafety profile. Furthermore, the compounds were chemically reactive with promising molecular electron potential properties. Collectively, we propose that the discovered lead compounds may open the way for establishing phytodrugs to manage COVID-19 pandemics and new chemical libraries to prevent COVID-19 entry into the host based on the findings of this computational investigation.