2020
DOI: 10.20944/preprints202004.0003.v1
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<strong>Computational Screening for Potential Drug Candidates Against SARS-CoV-2 Main Protease</strong>

Abstract: Background: SARS-CoV-2 that are the causal agent of a current pandemic are enveloped, positive-sense, single-stranded RNA viruses of the Coronaviridae family. Proteases of SARS-CoV-2 are necessary for viral replication, structural assembly and pathogenicity. The ~33.8KDa Mpro protease of SARS-CoV-2 is a non-human homologue and highly conserved among several coronaviruses indicating Mpro could be a potential drug target for Coronaviruses.Methods: Here we performed computational ligand screening of four pharmaco… Show more

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Cited by 3 publications
(2 citation statements)
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“…[9][10][11][12][13] Moreover, the search for novel compounds commercially available or with the possibility of being synthesized has had a vital rebound (e.g., screening part or the entire ZINC database). 9, [14][15][16] Table 1 summarizes representative examples of virtual screening (VS) studies directed to different molecular targets, including SARS-CoV-2 M pro . Most of these efforts relied on structure-based drug design (SBDD).…”
Section: Introductionmentioning
confidence: 99%
“…[9][10][11][12][13] Moreover, the search for novel compounds commercially available or with the possibility of being synthesized has had a vital rebound (e.g., screening part or the entire ZINC database). 9, [14][15][16] Table 1 summarizes representative examples of virtual screening (VS) studies directed to different molecular targets, including SARS-CoV-2 M pro . Most of these efforts relied on structure-based drug design (SBDD).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the search for novel compounds with the possibility of being synthesized or acquired commercially has had an important rebound (e.g. screening part or the entire ZINC database) [9,[14][15][16]. Table 1 summarizes representative examples of virtual screening (VS) studies directed to different molecular targets, including SARS-COV-2 M pro .…”
Section: Introductionmentioning
confidence: 99%