The membrane-anchored spike (S) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a pivotal role in directing the fusion of the virus particle mediated by the host cell receptor angiotensin-converting enzyme 2 (ACE-2). The fusion peptide region of the S protein S2 domain provides SARS-CoV-2 with the biological machinery needed for direct fusion to the host lipid membrane. In our present study, computer-aided drug design strategies were used for the identification of FDA-approved small molecules using the optimal structure of the S2 domain, which exhibits optimal interaction ratios, structural features, and energy variables, which were evaluated based on their performances in molecular docking, molecular dynamics simulations, molecular mechanics/generalized Born model and solvent accessibility binding free energy calculations of molecular dynamics trajectories, and statistical inferences. Among the 2,625 FDA-approved small molecules, chloramphenicol succinate, imipenem, and imidurea turned out to be the molecules that bound the best at the fusion peptide hydrophobic pocket. The principal interactions of the selected molecules suggest that the potential binding site at the fusion peptide region is centralized amid the Lys790, Thr791, Lys795, Asp808, and Gln872 residues. IMPORTANCE The present study provides the structural identification of the viable binding residues of the SARS-CoV-2 S2 fusion peptide region, which holds prime importance in the virus’s host cell fusion and entry mechanism. The classical molecular mechanics simulations were set on values that mimic physiological standards for a good approximation of the dynamic behavior of selected drugs in biological systems. The drug molecules screened and analyzed here have relevant antiviral properties, which are reported here and which might hint toward their utilization in the coronavirus disease 2019 (COVID-19) pandemic owing to their attributes of binding to the fusion protein binding region shown in this study.

The first systematic review and meta-analysis to help clinician to identify early signs and symptoms of neurological manifestation in COVID-19 positive patients which will further help in early management of patients. Present systematic review and meta-analysis aimed to discuss the prevalence of neurological involvement of the 2019-nCoV patients and assess the symptomatic trend of events as compared to the 2002 “SARS” and 2012 “MERS” pandemics. The articles were systematically screened through several search engine and databases. The articles published or in preprint were included in the study till 15th May 2020. The systematic review done as per the published literatures which included 31 cross sectional, observational studies and case reports which revealed neurological signs and symptoms in SARS-COV-2 disease. For meta-analysis, we included 09 observational and cross-sectional studies which included COVID-19 positive patients and assessed the predominance of various neurological signs and symptoms in COVID-19 patients with relation to SARS-2002 and MERS-2012. Data was analyzed by using the “MedCalc” Statistical Software version 19.2.6 and reported as pooled prevalence. Standard I2 test was used to analyze the heterogeneity. We have collected and screened about a total 2615articles, finally we have included 31articles for the systematic review and 09 for meta-analysis as per the inclusion/exclusion criteria. The analysis was made as per the prevalence rate of neurological symptoms in COVID-19 positive patients. The cumulative neurological outcome of SARS-2002 and MERS-2012 was assessed to get the trends which was further tried to correlate the events with the current pandemic. During the analysis severity and outcome of neurological manifestations range from simple headache to vague non-focal complaints to severe neurologic impairment associated with seizure or meningitis. Central and peripheral nervous system (CNS/PNS) manifestations were seen during the SARS-2002, MERS-2012 and COVID-19. However, none of the publication had primary or secondary objectives of searching neurological manifestations in the COVID-19 patients and the pathogenic mechanism which will subsequently strengthen the importance to start more prospective clinical trials. The prevalence of neurological signs and symptoms were taken as primary objective. Thereafter, the prevalence of each CNS/PNS symptoms was categorized and their prevalence studied. The selection of Bagheri et al., 2020 may be discussed because they have done the cross-sectional study with the neurological finding and correlated the data with prevalence of the COVID-19 positive patients. The proportion of patients presenting with neurological outcome and clinical/PCR positivity were done. We had searched and followed all the possible online/web source, still the data collection process may remain a limitation of work due to addition of several publications on COVID-19 every day. Due to lack of data of SARS-CoV and MERS-CoV, we have included the case reports, MERS and COVID-19 in CNS/PNS manifestations.

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Multiple options are being tried for the management of 2019-nCoV infection since its pandemic started. Favipiravir (FPV) is one of drugs, which is also being tried for the management of 2019-nCoV infection. The present study aimed to evaluate the efficacy and safety of FPV in published literature. Comparative randomized or nonrandomized controlled clinical trials comparing FPV to the standard of care (SOC)/control or other antiviral agent/combinations were included. A total of 12 databases were searched and identify four studies which were further used for final analysis. The data analysis was done as pooled prevalence using a random effect model by “RevMan manager version 5.4.1 and “R” software. The point estimate, odds ratio (OR) with 95% confidence interval (CI) was calculated for dichotomous data. In the present study, the marginal beneficial effect was seen in the FPV group in overall clinical improvement comparison to SOC/control, i.e., (4 studies, log OR [95% CI] (−0.19 [−0.51, 0.13]). However, in all other outcomes, it was found to be comparable to the SOC/control arm namely “clinical improvement on day 7–10” (3 studies, OR [95% CI] 1.63 [1.07, 2.48]) while “clinical improvement on day 10–14” (3 studies, OR [95% CI] 1.37 [0.24, 7.82]) and viral negativity was seen (4 studies, OR [95% CI] 1.91 [0.91, 4.01]). No difference in efficacy was found between FPV versus lopinavir/ritonavir or arbidol groups. Regarding adverse effects, except for the occurrence of rash (higher in the FPV group), safety was comparable to SOC. In our study, there was a marginal difference between the FPV and the SOC arm in terms of “clinical improvement” on day 7–10 or 10–14, and “virological negativity” on day 10–14.” However, some benefit was observed in a few studies, but it was also comparable to the control drugs or SOC.

The activation of the Wnt signaling pathway is implicated in a neuroprotective mechanism against the Alzheimer disease. When this pathway is blocked, it activates GSK3 beta, leading to tau hyperphosphorylation and the apoptosis of neurons. Dickkopf-related protein 1 (DKK1) is a protein that competes with the Wnt ligand for the low-density lipoprotein receptor–related protein 6 (LRP6) receptor’s binding, interrupting the Wnt-induced Fzd-Wnt-LRP6 complex. This counteracts Wnt’s neuroprotective effect and contributes to the progression of the Alzheimer disease. The aim of this study was to use in silico approach to develop new agents that can combat the Alzheimer disease by targeting the interaction between DKK1 and LRP6. To achieve this, we conducted a virtual screening (Vsw) of the Asinex-CNS database library (n = 54 513) compounds against a generated grid in LRP6 protein. From this screening, we selected 6 compounds based on their docking score and performed molecular mechanics-generalized Born surface area (MM-GBSA) binding energy calculations on the selected ligands. Next, we evaluated the Absorption, Distribution, Metabolism, and Excretion (ADME) results of the 6 screened compounds using the Quick prop module of Schrödinger. We then employed several computational techniques, including PCA (Principal Component Analysis), DCCM (Dynamic Cross-Correlation Map), molecular dynamics simulation, and molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA)–based negative binding free energy (BFE) calculation, to further analyze the compounds. Our extensive computational analysis resulted in the identification of 3 potential hits, LAS 29757582, LAS 29984441, and LAS 29757942. These compounds were found to block the interaction of DKK1 with LRP6 (A and B interface) protein, and their potential as therapeutic agents was supported by negative BFE calculation. Therefore, these compounds show potential as possible therapeutic agents for treating the Alzheimer disease through targeting the interaction between DKK1 and LRP6.