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      Structure-based drug designing towards the identification of potential anti-viral for COVID-19 by targeting endoribonuclease NSP15

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          Abstract

          The world is facing health and economic havoc due to the Corona Virus Disease-2019 (COVID-19) pandemic. Given the number of affected people and the mortality rate, the virus is undoubtedly a serious threat to humanity. By analogy with earlier reports about Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) - viruses, the novel Coronavirus’ replication mechanism is likely well understood. The structure of an endoribonuclease (NSP15) of SARS-CoV-2 was reported recently. This enzyme is expected to play a crucial role in replication. In this work, attempts were made to identify inhibitors of this enzyme. To achieve the goal, high throughput in silico screening and molecular docking procedures were performed. From an Enamine database of a billion compounds, 3978 compounds with potential antiviral activity were selected for screening and induced fit docking that funneled down to eight compounds with good docking score and docking energy. Detailed analysis of non-covalent interactions at the active site and the apparent match of the molecule with the shape of the binding pocket were assessed. All the compounds show significant interactions for tight binding. Since all the compounds are synthetic with favorable drug-like properties, these may be considered for immediate optimization and downstream applications.

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          Most cited references18

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          Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods

          SARS-CoV-2 has caused tens of thousands of infections and more than one thousand deaths. There are currently no registered therapies for treating coronavirus infections. Because of time consuming process of new drug development, drug repositioning may be the only solution to the epidemic of sudden infectious diseases. We systematically analyzed all the proteins encoded by SARS-CoV-2 genes, compared them with proteins from other coronaviruses, predicted their structures, and built 19 structures that could be done by homology modeling. By performing target-based virtual ligand screening, a total of 21 targets (including two human targets) were screened against compound libraries including ZINC drug database and our own database of natural products. Structure and screening results of important targets such as 3-chymotrypsin-like protease (3CLpro), Spike, RNA-dependent RNA polymerase (RdRp), and papain like protease (PLpro) were discussed in detail. In addition, a database of 78 commonly used anti-viral drugs including those currently on the market and undergoing clinical trials for SARS-CoV-2 was constructed. Possible targets of these compounds and potential drugs acting on a certain target were predicted. This study will provide new lead compounds and targets for further in vitro and in vivo studies of SARS-CoV-2, new insights for those drugs currently ongoing clinical studies, and also possible new strategies for drug repositioning to treat SARS-CoV-2 infections.
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            ESPript/ENDscript: Extracting and rendering sequence and 3D information from atomic structures of proteins.

            The fortran program ESPript was created in 1993, to display on a PostScript figure multiple sequence alignments adorned with secondary structure elements. A web server was made available in 1999 and ESPript has been linked to three major web tools: ProDom which identifies protein domains, PredictProtein which predicts secondary structure elements and NPS@ which runs sequence alignment programs. A web server named ENDscript was created in 2002 to facilitate the generation of ESPript figures containing a large amount of information. ENDscript uses programs such as BLAST, Clustal and PHYLODENDRON to work on protein sequences and such as DSSP, CNS and MOLSCRIPT to work on protein coordinates. It enables the creation, from a single Protein Data Bank identifier, of a multiple sequence alignment figure adorned with secondary structure elements of each sequence of known 3D structure. Similar 3D structures are superimposed in turn with the program PROFIT and a final figure is drawn with BOBSCRIPT, which shows sequence and structure conservation along the Calpha trace of the query. ESPript and ENDscript are available at http://genopole.toulouse.inra.fr/ESPript.
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              In silico studies on the comparative characterization of the interactions of SARS‐CoV‐2 spike glycoprotein with ACE‐2 receptor homologs and human TLRs

              Abstract Coronavirus disease‐2019 (COVID‐19) outbreak due to novel coronavirus or severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection has come out as a major threat for mankind in recent times. It is continually taking an enormous toll on mankind by means of increasing number of deaths, associated comorbidities, and socioeconomic loss around the globe. Unavailability of chemotherapeutics/vaccine has posed tremendous challenges to scientists and doctors for developing an urgent therapeutic strategy. In this connection, the present in silico study aims to understand the sequence divergence of spike protein (the major infective protein of SARS‐CoV‐2), its mode of interaction with the angiotensin‐converting enzyme‐2 receptor (ACE2) receptor of human and related animal hosts/reservoir. Moreover, the involvement of the human Toll‐like receptors (TLRs) against the spike protein has also been demonstrated. Our data indicated that the spike glycoprotein of SARS‐CoV‐2 is phylogenetically close to bat coronavirus and strongly binds with ACE2 receptor protein from both human and bat origin. We have also found that cell surface TLRs, especially TLR4 is most likely to be involved in recognizing molecular patterns from SARS‐CoV‐2 to induce inflammatory responses. The present study supported the zoonotic origin of SARS‐CoV‐2 from a bat and also revealed that TLR4 may have a crucial role in the virus‐induced inflammatory consequences associated with COVID‐19. Therefore, selective targeting of TLR4‐spike protein interaction by designing competitive TLR4‐antagonists could pave a new way to treat COVID‐19. Finally, this study is expected to improve our understanding on the immunobiology of SARS‐CoV‐2 and could be useful in adopting spike protein, ACE2, or TLR‐guided intervention strategy against COVID‐19 shortly.
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                Author and article information

                Contributors
                Journal
                Inform Med Unlocked
                Inform Med Unlocked
                Informatics in Medicine Unlocked
                Published by Elsevier Ltd.
                2352-9148
                11 July 2020
                11 July 2020
                : 100392
                Affiliations
                [1]Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai, 600 025, India
                Author notes
                []Corresponding author. nandhanu@ 123456gmail.com
                [∗∗ ]Corresponding author. gunaunom@ 123456gmail.com
                Article
                S2352-9148(20)30402-0 100392
                10.1016/j.imu.2020.100392
                7351674
                dc5e07c5-4019-4784-82e3-49e467fe8604
                © 2020 Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 26 May 2020
                : 2 July 2020
                : 2 July 2020
                Categories
                Article

                endoribonuclease,coronavirus,covid-19,nsp15 inhibitors
                endoribonuclease, coronavirus, covid-19, nsp15 inhibitors

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