The 2019-novel coronavirus (nCoV) has caused a global health crisis by causing coronavirus disease-19 (COVID-19) pandemic in the human population. The unavailability of specific vaccines and anti-viral drug for nCoV, science demands sincere efforts in the field of drug design and discovery for COVID-19. The novel coronavirus main protease (SARS-CoV-2 Mpro) play a crucial role during the disease propagation, and hence SARS-CoV-2 Mpro represents as a drug target for the drug discovery. Herein, we have applied bioinformatics approach for screening of chemical compounds from Indian spices as potent inhibitors of SARS-CoV-2 main protease (PDBID: 6Y84). The structure files of Indian spices chemical compounds were taken from PubChem database or Zinc database and screened by molecular docking, by using AutoDock-4.2, MGLTools-1.5.6, Raccoon virtual screening tools. Top 04 hits based on their highest binding affinity were analyzed. Carnosol exhibited highest binding affinity -8.2 Kcal/mol and strong and stable interactions with the amino acid residues present on the active site of SARS-CoV-2 Mpro. Arjunglucoside-I (-7.88 Kcal/mol) and Rosmanol (-7.99 Kcal/mol) also showed a strong and stable binding affinity with favourable ADME properties. These compounds on MD simulations for 50 ns shows strong hydrogen-bonding interactions with the protein active site and remains stable inside the active site. Our virtual screening results suggest that these small chemical molecules can be used as potential inhibitors against SARS-CoV-2 Mpro and may have an anti-viral effect on nCoV. However, further validation and investigation of these inhibitors against SARS-CoV-2 main protease are needed to claim their candidacy for clinical trials. Communicated by Ramaswamy H. Sarma

The current manuscript reports docking and molecular interaction analyses of three FDA approved acetylcholinesterase inhibitors, nitrogenous bases and nucleotides with amyloidogenic proteins like hen egg white lysozyme (HEWL) and amyloid β peptide. After prediction of aggregation-prone regions in hen egg-white lysozyme and amyloid β peptide, grid boxes were defined for docking purposes covering these regions. We analyzed vital interactions and binding modes of molecules that dock near aggregation-prone regions of these proteins with acceptable statistics. The data hints toward the possibility that these molecules may bind to aggregation-prone regions and prevent amyloid/aggregation formation. We have also compared the binding energy and interactions of these molecules with certain other natural molecules viz. Curcumin, Coumarin and Resveratrol that have been previously reported to show anti-amyloidogenic activity as positive controls.

Cancer cells utilize extensive autophagy in effort to adapt to high metabolic stress. This indicates that impairing the high autophagic flux might be an attractive target for cancer therapy. Autophagy related gene 4A (ATG4A) is a key player for autophagy and its inhibition may help in tumor clearance. The present study aims to screen candidate drugs from FDA-approved drugs, a subset of Zinc database, to identify potential ATG4A inhibitors that may have anti-cancer activity. Computer aided drug design approach was applied for the study using the virtual screening tools Raccoon and MGLTools-1.5.6. We have identified the drug Lumacaftor as a potent inhibitor of ATG4A on the basis of computational approaches viz. molecular docking, molecular dynamics simulation and MM/PBSA method. The drug is likely to be a potent regimen candidate to be used as an anti-cancer molecule. However, this potent inhibitor against ATG4A as anti-cancer molecule needs further investigation and validation. Communicated by Ramaswamy H. Sarma

In this paper, we have analyzed biodesulfurization of dibenzothiophene (DBT) and 4,6-dibenzothiophene (4,6-DMDBT) by 4S metabolic pathway using molecular simulations. Docking analysis revealed lower binding energies and inhibition constants (K_i) for 4,6-DMDBT and its metabolic intermediates with DSZ enzymes than DBT and its intermediates. The complexes of substrate and its metabolites with DSZ enzymes had higher stability for 4,6-DMDBT than DBT owing to lower RMSF values than apoprotein. The docking analysis revealed affinity of the inhibitors HBPS and HBP (for DBT) and DMHBPS and DMHBP (for 4,6-DMDBT) toward DSZ enzyme due to negative binding energies. Molecular dynamics simulations showed stability of several enzyme-inhibitor complexes. The inhibitory effect of DMHBPS on DSZC enzyme (K_i = 1.53 µM) and DMHBP on DSZB enzyme (K_i = 3.87 µM) was most marked. The inhibitory effect of HBP on DSZC and DSZB enzymes was moderate due to K_i of 6.36 and 7.93 µM, respectively. The inhibition effect of DMHBP on the DSZA enzyme was insignificant due to high K_i of 53.6 µM. In summary, higher stability of enzyme-substrate complexes and strong inhibition by DMHBPS and DMHBP (due to very low K_i) contribute to slower biodesulfurization of 4,6-DMDBT as compared to DBT.