In Silico Comparison of Separate or Combinatorial Effects of Potential Inhibitors of the SARS-CoV-2 Binding Site of ACE2.

BACKGROUND: The COVID-19 is a pandemic viral infection with a high morbidity rate, leading to many worldwide deaths since the end of 2019. The RBD (Receptor Binding Domain) of SARS-CoV-2 through its spike utilizes several host molecules to enter host cells. One of the most important ones is the angiotensin-converting enzyme 2 (ACE2), an enzyme normally engaged in renin angiotensin pathway and is responsible for hypertension regulation. As different articles have analyzed separate compounds which can bind ACE2 as the potential virus entry blockers, and each one with a different molecular docking algorithm, in this study we compared all candidate compounds individually as well as their combinations using a unique validated software to introduce most promising ones. METHODS: We collected and prepared a list of all available compounds which potentially can inhibit RBD binding site of the ACE2 from different studies and then reanalyzed and compared them using the Patchdock (ver. 1.3) as a suitable molecular docking algorithm for analysis of separate compounds or their combinations. RESULTS: Saikosaponin A (e.g. in Bupleurum chinense), Baicalin (e.g. in several species in the genus Scutellaria), Glycyrrhizin (Glycyrrhiza glabra), MLN-4760 and Umifenovir better occupied ACE2 to inhibit viral RBD binding and are suggested as the top five inhibitors of the SARS-CoV-2 binding site of ACE2. Their combinatory effects were also inspiring concurrent ACE2 blockade. CONCLUSION: The results propose greatest compounds and their combinatory anti-SARS-CoV-2 effects in order to decrease the time and expenses required for further experimental designs.

Molecular aspects of the interaction of spermidine and α-chymotrypsin.

Polyamines such as spermidine are essential for survival. The purpose of the present study was to investigate how spermidine could influence the conformation, thermal stability and the activity of α-chymotrypsin. The influence of spermidine on the structure and stability of α-Chymotrypsin (α-Chy) explored using different spectroscopy method and molecular docking simulations. The stability and activity of α-Chy were increased in the presence of spermidine. Increasing of the α-Chy absorption in the presence of spermidine was as a result of the formation of a spermidine - α-Chy complex. The results of fluorescence spectroscopic measurements suggested that spermidine has a vigorous ability to quench the intrinsic fluorescence of α-Chy through the dynamic quenching procedure. Near and Far-UV CD studies also confirmed the transfer of aromatic residues to a more flexible environment. The absorption increasing of α-Chy in the presence of spermidine was as a result of the formation of spermidine - α-Chy complex. Molecular docking results also revealed the presence of one binding site with a negative value for the Gibbs free energy of the binding of spermidine to α-Chy. Further, the docking study revealed that van der Waals interactions and hydrogen bonds play a main role in stabilizing the complex.

NMR and NQR study of Si-doped (6,0) zigzag single-walled aluminum nitride nanotube as n or P-semiconductors.

Density functional theory (DFT) calculations were performed to investigate the electronic structure properties of pristine and Si-doped aluminum nitride nanotubes as n or P-semiconductors at the B3LYP/6-31G* level of theory in order to evaluate the influence of Si-doped in the (6,0) zigzag AlNNTs. We extended the DFT calculation to predict the electronic structure properties of Si-doped aluminum nitride nanotubes, which are very important for production of solid-state devices and other applications. To this aim, pristine and Si-doped AlNNT structures in two models (Si(N) and Si(Al)) were optimized, and then the electronic properties, the isotropic (CS(I)) and anisotropic (CS(A)) chemical shielding parameters for the sites of various (27)Al and (14)N atoms, NQR parameters for the sites of various of (27)Al and (14)N atoms, and quantum molecular descriptors were calculated in the optimized structures. The optimized structures, the electronic properties, NMR and NQR parameters, and quantum molecular descriptors for the Si(N) and Si(Al) models show that the Si(N) model is a more reactive material than the pristine or Si(Al) model.