Fikry Awaluddin, Irmanida Batubara, Setyanto Tri Wahyudi
{"title":"针对SARS-CoV-2基因组编码的六种蛋白质受体的天然化合物的虚拟筛选","authors":"Fikry Awaluddin, Irmanida Batubara, Setyanto Tri Wahyudi","doi":"10.20884/1.jm.2023.18.1.7884","DOIUrl":null,"url":null,"abstract":"Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes Coronavirus 2019 (COVID-19). To date, there has been no proven effective drug for the treatment or prevention of COVID-19. A study on developing inhibitors for this virus is carried out using molecular docking simulation methods. 3CL-Pro, PL-Pro, Helicase, N, E, and M protein were used as protein targets. Autodock Vina, Autodock 4.2, and PSOVina were used in this study. This study aims to obtain a model of ligands interactions of active natural compounds against the receptor protein encoded by the SARS-CoV-2 genome and their free binding energy to propose active compounds from natural products that have potential as a drug for COVID-19. Corilagin (-14,42 kcal/mol), Scutellarein 7-rutinoside (-13,2 kcal/mol), Genistein 7-O-glucuronide (-10,52 kcal/mol), Biflavonoid-flavone base + 3O (-11,88 and -9,61 kcal/mol), and Enoxolone (-6,96 kcal/mol) has the best free energy value at each protein target indicating that the compound has the potential as a viral protein inhibitor for further investigation. This research is limited to computer simulations, where the results obtained are still a prediction.","PeriodicalId":18773,"journal":{"name":"Molekul","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Virtual Screening of Natural Compounds Against Six Protein Receptors Coded by The SARS-CoV-2 Genome\",\"authors\":\"Fikry Awaluddin, Irmanida Batubara, Setyanto Tri Wahyudi\",\"doi\":\"10.20884/1.jm.2023.18.1.7884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes Coronavirus 2019 (COVID-19). To date, there has been no proven effective drug for the treatment or prevention of COVID-19. A study on developing inhibitors for this virus is carried out using molecular docking simulation methods. 3CL-Pro, PL-Pro, Helicase, N, E, and M protein were used as protein targets. Autodock Vina, Autodock 4.2, and PSOVina were used in this study. This study aims to obtain a model of ligands interactions of active natural compounds against the receptor protein encoded by the SARS-CoV-2 genome and their free binding energy to propose active compounds from natural products that have potential as a drug for COVID-19. Corilagin (-14,42 kcal/mol), Scutellarein 7-rutinoside (-13,2 kcal/mol), Genistein 7-O-glucuronide (-10,52 kcal/mol), Biflavonoid-flavone base + 3O (-11,88 and -9,61 kcal/mol), and Enoxolone (-6,96 kcal/mol) has the best free energy value at each protein target indicating that the compound has the potential as a viral protein inhibitor for further investigation. This research is limited to computer simulations, where the results obtained are still a prediction.\",\"PeriodicalId\":18773,\"journal\":{\"name\":\"Molekul\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molekul\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20884/1.jm.2023.18.1.7884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Chemistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molekul","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20884/1.jm.2023.18.1.7884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Chemistry","Score":null,"Total":0}
Virtual Screening of Natural Compounds Against Six Protein Receptors Coded by The SARS-CoV-2 Genome
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes Coronavirus 2019 (COVID-19). To date, there has been no proven effective drug for the treatment or prevention of COVID-19. A study on developing inhibitors for this virus is carried out using molecular docking simulation methods. 3CL-Pro, PL-Pro, Helicase, N, E, and M protein were used as protein targets. Autodock Vina, Autodock 4.2, and PSOVina were used in this study. This study aims to obtain a model of ligands interactions of active natural compounds against the receptor protein encoded by the SARS-CoV-2 genome and their free binding energy to propose active compounds from natural products that have potential as a drug for COVID-19. Corilagin (-14,42 kcal/mol), Scutellarein 7-rutinoside (-13,2 kcal/mol), Genistein 7-O-glucuronide (-10,52 kcal/mol), Biflavonoid-flavone base + 3O (-11,88 and -9,61 kcal/mol), and Enoxolone (-6,96 kcal/mol) has the best free energy value at each protein target indicating that the compound has the potential as a viral protein inhibitor for further investigation. This research is limited to computer simulations, where the results obtained are still a prediction.