Exploring the new therapeutic indications of known drugs for treating COVID-19, popularly known as drug repurposing, is emerging as a pragmatic approach especially owing to the mounting pressure to control the pandemic. Targeting multiple targets with a single drug by employing drug repurposing known as the polypharmacology approach may be an optimised strategy for the development of effective therapeutics. In this study, virtual screening has been carried out on seven popular SARS-CoV-2 targets (3CL pro , PL pro , RdRp (NSP12), NSP13, NSP14, NSP15, and NSP16). A total of 4015 approved drugs were screened against these targets. Four drugs namely venetoclax, tirilazad, acetyldigitoxin, and ledipasvir have been selected based on the docking score, ability to interact with four or more targets and having a reasonably good number of interactions with key residues in the targets. The MD simulations and MM-PBSA studies showed reasonable stability of protein-drug complexes and sustainability of key interactions between the drugs with their respective targets throughout the course of MD simulations. The identified four drug molecules were also compared with the known drugs namely elbasvir and nafamostat. While the study has provided a detailed account of the chosen protein-drug complexes, it has explored the nature of seven important targets of SARS-CoV-2 by evaluating the protein-drug complexation process in great detail. Graphical abstract Drug repurposing strategy against SARS-CoV2 drug targets. Computational analysis was performed to identify repurposable approved drug candidates against SARS-CoV2 using approaches such as virtual screening, molecular dynamics simulation and MM-PBSA calculations. Four drugs namely venetoclax, tirilazad, acetyldigitoxin, and ledipasvir have been selected as potential candidates. Supplementary Information The online version contains supplementary material available at 10.1007/s12039-022-02046-0.

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Alzheimer's disease is a progressive neurodegenerative disorder, which is characterized by amyloid β peptide deposition in the brain. Aβ peptide, the major component of amyloid plaques is generated by the sequential processing of a larger protein called amyloid Precursor Protein by β-amyloid cleaving enzyme (BACE-1). In this study, we appllied computer assisted methodology unifying molecular docking and pharmacophore filtering to identify potent inhibitors against BACE-1. In order to inspect the pharmacophore region and binding mode of BACE-1 135 reported co-crystallized ligands of BACE-1 were docked into the active site using Glide XP. The present molecular docking studies provided critical information on protein ligand interactions that revealed imminent information on chemical features essential to inhibiting BACE-1. Based on the docking results we proposed structure based pharmacophore features that hold well as potent BACE-1 inhibitors. A huge set of compounds was docked into the active site of BACE-1 and the hits from the docking were filtered to match the chemical features of the pharmacophore model. The compounds resulting from the pharmacophore filtering were again re-docked into the active site of BACE-1 and the three hits bound well into the active sites and matched the pharmacophore models which were identified as possible potential inhibitors of BACE-1. Molecular dynamics simulation reveals that lead 3 shows constant RMSD and the number of hydrogen bonding with the protein among the identified three lead molecules.

Glioblastoma multiforme (GBM) is considered to be the most common and often deadly disorder which affects the brain. It is caused by the over expression of proteins such as ephrin type-A receptor 2 (EphA2), epidermal growth factor receptor (EGFR) and EGFRvIII. These 3 proteins are considered to be the potential therapeutic targets for GBM. Among these, EphA2 is reported to be over-expressed in ˜90% of GBM. Herein we selected 35 compounds from marine actinomycetes, 5 in vitro and in vivo studied drug candidates and 4 commercially available drugs for GBM which were identified from literature and analysed by using comparative docking studies. Based on the glide scores and other in silico parameters available in Schrödinger, two selected marine actinomycetes compounds which include Tetracenomycin D and Chartreusin exhibited better binding energy among all the compounds studied in comparative docking. In this study we have demonstrated the inhibition of the 3 selected targets by the two bioactive compounds from marine actinomycetes through in-silico docking studies. Furthermore molecular dynamics simulation were also been performed to check the stability and the amino acids interacted with the 3 molecular targets (EphA2 receptor, EGFR, EGFRvIII) for GBM. Our results suggest that Tetracinomycin D and Chartreusin are the novel and potential inhibitor for the treatment of GBM.