The Pandemic situation caused due to SARS-CoV-2 causing Coronavirus Disease (CoVID-19) around globe. Recent, COVID-19 main protease complex (M pro), highly modulating enzyme in SARS-CoV-2 was reported for viral replication and transcription. This multifunctionality of M pro attracts for identi cation of potential drug target. Considering impact, In silico analysis was performed for Palmatine alkaloid against M pro. Naturally, present in Tinospora cordifolia, found effective against Cancer, HIV, viral infections, diabetics. In methods, physico-chemical analysis by ProtParam tool and Structure of M pro was predicted by SWISS-MODEL Workspace homology modeling server. Superimposition Structure and signi cant equal QMQE, QSQE values were found for eight highly similar templates. Structural assessment validation by Ramachandran plot (97.67% favoured), Local Quality estimate ratio (>0.6) and higher QMEAN score (y-axis). Further, docking was performed with validated M pro model by SwissDock server. Interaction with-8.281919 ΔG indicates reliable Interaction. Also, comparative docking reveals, most favoured Palmatine interaction. Thus, an attempt was made to nd potent inhibitor for SARS-CoV-2, as there is no promising and speci c anti-viral drug or vaccine available for prevention and treatment of infections. However, In Vitro studies are required. Toxicity studies reported against Palmatine for acute effect (135 mg/kg body weight) on mouse model LD 50.

Current knowledge of RNA virus biodiversity is both biased and fragmentary, reflecting a focus on culturable or disease-causing agents. Here we profile the transcriptomes of over 220 invertebrate species sampled across nine animal phyla and report the discovery of 1,445 RNA viruses, including some that are sufficiently divergent to comprise new families. The identified viruses fill major gaps in the RNA virus phylogeny and reveal an evolutionary history that is characterized by both host switching and co-divergence. The invertebrate virome also reveals remarkable genomic flexibility that includes frequent recombination, lateral gene transfer among viruses and hosts, gene gain and loss, and complex genomic rearrangements. Together, these data present a view of the RNA virosphere that is more phylogenetically and genomically diverse than that depicted in current classification schemes and provide a more solid foundation for studies in virus ecology and evolution.

@ERSpublications These data showed that age ⩾65 years, pre-existing concurrent cardiovascular or cerebrovascular diseases, CD3 + CD8 + T-cells ⩽75 cells·μL −1 and cardiac troponin I ⩾0.05 ng·mL −1 were four risk factors predicting high mortality of COVID-19 pneumonia patients https://bit.ly/2Rh6NqvABSTRACT The aim of this study was to identify factors associated with the death of patients with COVID-19 pneumonia caused by the novel coronavirus SARS-CoV-2.All clinical and laboratory parameters were collected prospectively from a cohort of patients with COVID-19 pneumonia who were hospitalised to Wuhan Pulmonary Hospital (Wuhan City, Hubei Province, China) between 25 December 2019 and 7 February 2020. Univariate and multivariate logistic regression was performed to investigate the relationship between each variable and the risk of death of COVID-19 pneumonia patients.In total, 179 patients with COVID-19 pneumonia (97 male and 82 female) were included in the present prospective study, of whom 21 died. Univariate and multivariate logistic regression analysis revealed that age ⩾65 years (OR 3.765, 95% CI 1.146-17.394; p=0.023), pre-existing concurrent cardiovascular or cerebrovascular diseases (OR 2.464, 95% CI 0.755-8.044; p=0.007), CD3 + CD8 + T-cells ⩽75 cells·μL −1 (OR 3.982, 95% CI 1.132-14.006; p<0.001) and cardiac troponin I ⩾0.05 ng·mL −1 (OR 4.077, 95% CI 1.166-14.253; p<0.001) were associated with an increase in risk of mortality from COVID-19 pneumonia. In a sex-, age-and comorbid illness-matched case-control study, CD3 + CD8 + T-cells ⩽75 cells·μL −1 and cardiac troponin I ⩾0.05 ng·mL −1 remained as predictors for high mortality from COVID-19 pneumonia.We identified four risk factors: age ⩾65 years, pre-existing concurrent cardiovascular or cerebrovascular diseases, CD3 + CD8 + T-cells ⩽75 cells·μL −1 and cardiac troponin I ⩾0.05 ng·mL −1 . The latter two factors, especially, were predictors for mortality of COVID-19 pneumonia patients.

No abstract