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10.2217/fvl-2020-0392 http://scihub22266oqcxt.onion/10.2217/fvl-2020-0392 34306168!8293696!34306168     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34306168&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Future+Virol 2021 ; ? (?): ? Nephropedia Template TP {{tp|p=34306168|t=2021. Potential drugs against COVID-19 revealed by gene expression profile, molecular docking and molecular dynamic simulation |pdf=|usr=}}{{34306168}} gab.com Text Potential drugs against COVID-19 revealed by gene expression profile, molecular docking and molecular dynamic simulation JO: Future Virol http://www.kidney.de/pget.php?&tw=1&pmid=34306168 #FOAvip Aim: SARS-CoV-2, an emerging betacoronavirus, is the causative agent of COVID-19. Currently, there are few specific and selective antiviral drugs for the treatment and vaccines to prevent contagion. However, their long-term effects can be revealed after several years, and new drugs for COVID-19 should continue to be investigated. Materials & methods: In the first step of our study we identified, through a gene expression analysis, several drugs that could act on the biological pathways altered in COVID-19. In the second step, we performed a docking simulation to test the properties of the identified drugs to target SARS-CoV-2. Results: The drugs that showed a higher binding affinity are bardoxolone (-8.78 kcal/mol), irinotecan (-8.40 kcal/mol) and pyrotinib (-8.40 kcal/mol). Conclusion: We suggested some drugs that could be efficient in treating COVID-19. Twit Text FOAVip Potential drugs against COVID-19 revealed by gene expression profile, molecular docking and molecular dynamic simulation ????Future Virol http://www.kidney.de/pget.php?&tw=1&pmid=34306168 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34306168 #FOAvip English Wikipedia <ref>{{Cite pmid|34306168}}</ref> Potential drugs against COVID-19 revealed by gene expression profile, molecular docking and molecular dynamic simulation #MMPMID34306168 Cava C; Bertoli G; Castiglioni I Future Virol 2021[Jul]; ? (?): ? PMID34306168show ga Aim: SARS-CoV-2, an emerging betacoronavirus, is the causative agent of COVID-19. Currently, there are few specific and selective antiviral drugs for the treatment and vaccines to prevent contagion. However, their long-term effects can be revealed after several years, and new drugs for COVID-19 should continue to be investigated. Materials & methods: In the first step of our study we identified, through a gene expression analysis, several drugs that could act on the biological pathways altered in COVID-19. In the second step, we performed a docking simulation to test the properties of the identified drugs to target SARS-CoV-2. Results: The drugs that showed a higher binding affinity are bardoxolone (-8.78 kcal/mol), irinotecan (-8.40 kcal/mol) and pyrotinib (-8.40 kcal/mol). Conclusion: We suggested some drugs that could be efficient in treating COVID-19. ?Potential drugs against COVID-19 revealed by gene expression profile, (epmc).pdf DeepDyve Pubget Overpricing