Currently the entire human population is in the midst of a global pandemic caused by SARS-CoV-2 ( S evere A cute R espiratory S yndrome Co rona V irus 2). This highly pathogenic virus has to date caused >71 million infections and >1.6 million deaths in >180 countries. Several vaccines and drugs are being studied as possible treatments or prophylactics of this viral infection. M3CLpro (coronavirus main cysteine protease) is a promising drug target as it has a significant role in viral replication. Here we use the X-ray crystal structure of M3CLpro in complex with boceprevir to study the dynamic changes of the protease upon ligand binding. The binding free energy was calculated for water molecules at different locations of the binding site, and molecular dynamics (MD) simulations were carried out for the M3CLpro/boceprevir complex, to thoroughly understand the chemical environment of the binding site. Several HCV NS3/4a protease inhibitors were tested in vitro against M3CLpro. Specifically, asunaprevir, narlaprevir, paritaprevir, simeprevir, and telaprevir all showed inhibitory effects on M3CLpro. Molecular docking and MD simulations were then performed to investigate the effects of these ligands on M3CLpro and to provide insights into the chemical environment of the ligand binding site. Our findings and observations are offered to help guide the design of possible potent protease inhibitors and aid in coping with the COVID-19 pandemic.

This review describes recent progress in the area of molecular simulations of peptide assemblies, including peptide-amphiphiles, and drug-amphiphiles. The ability to predict the structure and stability of peptide self-assemblies from the molecular level up is vital to the field of nanobiotechnology. Computational methods such as molecular dynamics offer the opportunity to characterize intermolecular forces between peptide-amphiphiles that are critical to the self-assembly process. Furthermore, these computational methods provide the ability to computationally probe the structure of these supramolecular assemblies at the molecular level, which is a challenge experimentally. Herein, we briefly highlight progress in the areas of all-atomistic and coarse-grained simulation studies investigating the self-assembly process of short peptides and peptide amphiphiles. We also discuss recent all-atomistic and coarse-grained simulations of the self-assembly of a drug-amphiphile into elongated filaments. Next, we discuss how these computational methods can provide further insight on the pathway of cylindrical nanofiber formation and predict their biocompatibility by studying the interaction of these peptide-amphiphile nanostructures with model cell membranes.

The main protease of SARS-CoV-2 virus, Mpro, is an essential element for viral replication, and inhibitors targeting Mpro are currently being investigated in many drug development programs as a possible treatment for COVID-19. An in vitro pilot screen of a highly focused collection of compounds was initiated to identify new lead scaffolds for Mpro. These efforts identified a number of hits. The most effective of these was compound SIMR-2418 having an inhibitory IC50 value of 20.7 μM. Molecular modeling studies were performed to understand the binding characteristics of the identified compounds. The presence of a cyclohexenone warhead group facilitated covalent binding with the Cys145 residue of Mpro. Our results highlight the challenges of targeting Mpro protease and pave the way toward the discovery of potent lead molecules.