The spike protein receptor binding domain (S-RBD) is a necessary corona-viral protein for binding and entry of coronaviruses (COVs) into the host cells. Hence, it has emerged as an attractive antiviral drug target. Therefore, present study was aimed to target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S-RBD with novel bioactive compounds to retrieve potential candidates that could serve as anti-coronavirus disease 2019 (COVID-19) drugs. In this paper, computational approaches were employed, especially the structure-based virtual screening followed by molecular dynamics (MD) simulation as well as binding energy analysis for the computational identification of specific terpenes from the medicinal plants, which can block SARS-CoV-2 S-RBD binding to Human angiotensin-converting enzyme 2 (H-ACE2) and can act as potent anti-COVID-19 drugs after further advancements. The screening of focused terpenes inhibitors database composed of ~1000 compounds with reported therapeutic potential resulted in the identification of three candidate compounds, NPACT01552, NPACT01557 and NPACT00631. These three compounds established conserved interactions, which were further explored through all-atom MD simulations, free energy calculations, and a residual energy contribution estimated by MM-PB( GB )SA method. All these compounds showed stable conformation and interacted well with the hot-spot residues of SARS-CoV-2 S-RBD. Conclusively, the reported SARS-CoV-2 S-RBD specific terpenes could serve as seeds for developing potent anti-COVID-19 drugs. Importantly, the experimentally tested glycyrrhizin (NPACT00631) against SARS-CoV could be used further in the fast-track drug development process to help curb COVID-19.
Diatoms are a highly diverse group of eukaryotic phytoplankton that are distributed throughout marine and freshwater environments and are believed to be responsible for approximately 40% of the total marine primary productivity. The ecological success of diatoms suggests that they have developed a range of strategies to cope with various biotic and abiotic stress factors. It is of great interest to understand the adaptive responses of diatoms to different stresses in the marine environment. Proteomic technologies have been applied to the adaptive responses of marine diatoms under different growth conditions in recent years such as nitrogen starvation, iron limitation and phosphorus deficiency. These studies have provided clues to elucidate the sophisticated sensing mechanisms that control their adaptive responses. Although only a very limited number of proteomic studies were conducted in diatoms, the obtained data have led to a better understanding of the biochemical processes that contribute to their ecological success. This review presents the current status of proteomic studies of diatom stress responses and discusses the novel developments and applications for the analysis of protein post-translational modification in diatoms. The potential future application of proteomics could contribute to a better understanding of the physiological mechanisms underlying diatom acclimation to a given stress and the acquisition of an enhanced diatom stress tolerance. Future challenges and research opportunities in the proteomics studies of diatoms are also discussed.
SARS-CoV-2 caused the current COVID-19 pandemic and there is an urgent need to explore effective therapeutics that can inhibit enzymes that are imperative in virus reproduction. To this end, we computationally investigated the MPD3 phytochemical database along with the pool of reported natural antiviral compounds with potential to be used as anti-SARS-CoV-2. The docking results demonstrated glycyrrhizin followed by azadirachtanin, mycophenolic acid, kushenol-w and 6-azauridine, as potential candidates. Glycyrrhizin depicted very stable binding mode to the active pocket of the Mpro (binding energy, −8.7 kcal/mol), PLpro (binding energy, −7.9 kcal/mol), and Nucleocapsid (binding energy, −7.9 kcal/mol) enzymes. This compound showed binding with several key residues that are critical to natural substrate binding and functionality to all the receptors. To test docking prediction, the compound with each receptor was subjected to molecular dynamics simulation to characterize the molecule stability and decipher its possible mechanism of binding. Each complex concludes that the receptor dynamics are stable (Mpro (mean RMSD, 0.93 Å), PLpro (mean RMSD, 0.96 Å), and Nucleocapsid (mean RMSD, 3.48 Å)). Moreover, binding free energy analyses such as MMGB/PBSA and WaterSwap were run over selected trajectory snapshots to affirm intermolecular affinity in the complexes. Glycyrrhizin was rescored to form strong affinity complexes with the virus enzymes: Mpro (MMGBSA, −24.42 kcal/mol and MMPBSA, −10.80 kcal/mol), PLpro (MMGBSA, −48.69 kcal/mol and MMPBSA, −38.17 kcal/mol) and Nucleocapsid (MMGBSA, −30.05 kcal/mol and MMPBSA, −25.95 kcal/mol), were dominated mainly by vigorous van der Waals energy. Further affirmation was achieved by WaterSwap absolute binding free energy that concluded all the complexes in good equilibrium and stability (Mpro (mean, −22.44 kcal/mol), PLpro (mean, −25.46 kcal/mol), and Nucleocapsid (mean, −23.30 kcal/mol)). These promising findings substantially advance our understanding of how natural compounds could be shaped to counter SARS-CoV-2 infection.
Aromatic stacking interactions arise from the attractive force between the π-electron clouds in the neighboring aromatic groups. The aromatic stacking is common between proteins and small molecules. The stacking interactions at the interfaces of proteins and other macromolecules are relatively rare. However it contributes to a significant portion of the stabilizing forces. In the proteinprotein complexes, aromatic interactions are involved in the protein oligomerization, such as dimer, trimer and tetramer formation. Also, aromatic residues can bind to nanoparticles through stacking interactions which offer them stronger affinity than other residues. These interactions play crucial roles in proteinnanoparticle conjugation. In the protein-nucleotide complexes, the specific recognitions are realized through stacking interactions between aromatic residues and the bases in the nucleotides. Many nucleoproteins use aromatic stacking to recognize binding site on DNA or RNA. Stacking interactions are involved in the process of mismatch repair, strand separation, deadenylation, degradation and RNA cap binding. They are proved to be important for the stability of complexes. The aromatic stacking is also the underlying reasons of many fatal diseases such as Alzheimer, cancer and cardiovascular diseases. The chemicals that can block the stacking interactions could have potential pharmaceutical values. In this review, we summarize recent finding regarding the functions of aromatic stacking interactions in the protein-macromolecule complexes. Our aim is to understand the mechanisms underlying the stacking-mediated complex formation and facilitate the development of drugs and other bio-products.
Rab9 is required for the transport of mannose 6-phosphate receptors to the trans-Golgi network from late endosomes through the interaction with its effector: RhoBTB3. Earlier research indicates the C-terminus of RhoBTB3 (Rho_Cterm) is used for the interaction with Rab9. We used the homology modeling along with the molecular dynamics (MD) simulation to study the binding pattern of Rho_Cterm and Rab9 at atomic level. Both modeled structures, Rab9 and Rho_Cterm, are of high quality as suggested by the Ramachandran plot and ProCheck. The complex of Rab9-Rho_Cterm was generated by unrestrained pairwise docking using ZDOCK server. The interface of complex is consistent with the previous experimental data. The results of MD simulation indicate that the binding interface is stable along the simulation process.
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