Rhanna da Silva, L. Monteiro, C. Branco, Fernanda Guilhon-Simplicio
{"title":"COVID-19药物规划:药物化学远程教学经验","authors":"Rhanna da Silva, L. Monteiro, C. Branco, Fernanda Guilhon-Simplicio","doi":"10.21577/0100-4042.20230020","DOIUrl":null,"url":null,"abstract":"DRUG DESIGN AGAINST COVID-19: A REMOTE TEACHING EXPERIENCE IN PHARMACEUTICAL CHEMISTRY. Infront of with the difficulties faced in making a new drug available to the population, it is essential to seek ways to simplify the process. In silico methodologies are alternatives to benchtop experiments, being frequently used due to their speed and low cost. The present study aimed to formulate a theoretical-practical activity in the Pharmaceutical Chemistry course, where students applied their knowledge of structural modeling and molecular docking to propose bioactive compounds against molecular targets of the SARS-CoV-2 virus. The class was divided, and each group presented a drug candidate, the precursors being natural molecules. In total, seven derivatives were designed and tested against different macromolecules, and then an in silico prediction of their physicochemical characteristics was performed. The docking results were positive for all derivatives, in terms of binding energy, mainly GEND with –9.0 kcal mol-1. In addition, the prototypes exhibited good interactions with the amino acids of the respective targets, mainly KAED, QUED and GEND, in addition to presenting adequate physicochemical properties for meeting the Lipinski restrictions. Therefore, this study presented at least three potential inhibitors of SARS-CoV-2, showing the importance of using computational tools in drug design and development, as well as in teaching practice.","PeriodicalId":49641,"journal":{"name":"Quimica Nova","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PLANEJAMENTO DE FÁRMACOS CONTRA COVID-19: UMA EXPERIÊNCIA DE ENSINO REMOTO DE QUÍMICA FARMACÊUTICA\",\"authors\":\"Rhanna da Silva, L. Monteiro, C. Branco, Fernanda Guilhon-Simplicio\",\"doi\":\"10.21577/0100-4042.20230020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"DRUG DESIGN AGAINST COVID-19: A REMOTE TEACHING EXPERIENCE IN PHARMACEUTICAL CHEMISTRY. Infront of with the difficulties faced in making a new drug available to the population, it is essential to seek ways to simplify the process. In silico methodologies are alternatives to benchtop experiments, being frequently used due to their speed and low cost. The present study aimed to formulate a theoretical-practical activity in the Pharmaceutical Chemistry course, where students applied their knowledge of structural modeling and molecular docking to propose bioactive compounds against molecular targets of the SARS-CoV-2 virus. The class was divided, and each group presented a drug candidate, the precursors being natural molecules. In total, seven derivatives were designed and tested against different macromolecules, and then an in silico prediction of their physicochemical characteristics was performed. The docking results were positive for all derivatives, in terms of binding energy, mainly GEND with –9.0 kcal mol-1. In addition, the prototypes exhibited good interactions with the amino acids of the respective targets, mainly KAED, QUED and GEND, in addition to presenting adequate physicochemical properties for meeting the Lipinski restrictions. Therefore, this study presented at least three potential inhibitors of SARS-CoV-2, showing the importance of using computational tools in drug design and development, as well as in teaching practice.\",\"PeriodicalId\":49641,\"journal\":{\"name\":\"Quimica Nova\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quimica Nova\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.21577/0100-4042.20230020\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quimica Nova","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.21577/0100-4042.20230020","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
PLANEJAMENTO DE FÁRMACOS CONTRA COVID-19: UMA EXPERIÊNCIA DE ENSINO REMOTO DE QUÍMICA FARMACÊUTICA
DRUG DESIGN AGAINST COVID-19: A REMOTE TEACHING EXPERIENCE IN PHARMACEUTICAL CHEMISTRY. Infront of with the difficulties faced in making a new drug available to the population, it is essential to seek ways to simplify the process. In silico methodologies are alternatives to benchtop experiments, being frequently used due to their speed and low cost. The present study aimed to formulate a theoretical-practical activity in the Pharmaceutical Chemistry course, where students applied their knowledge of structural modeling and molecular docking to propose bioactive compounds against molecular targets of the SARS-CoV-2 virus. The class was divided, and each group presented a drug candidate, the precursors being natural molecules. In total, seven derivatives were designed and tested against different macromolecules, and then an in silico prediction of their physicochemical characteristics was performed. The docking results were positive for all derivatives, in terms of binding energy, mainly GEND with –9.0 kcal mol-1. In addition, the prototypes exhibited good interactions with the amino acids of the respective targets, mainly KAED, QUED and GEND, in addition to presenting adequate physicochemical properties for meeting the Lipinski restrictions. Therefore, this study presented at least three potential inhibitors of SARS-CoV-2, showing the importance of using computational tools in drug design and development, as well as in teaching practice.
期刊介绍:
Química Nova publishes in portuguese, spanish and english, original research articles, revisions, technical notes and articles about education in chemistry. All the manuscripts submitted to QN are evaluated by, at least, two reviewers (from Brazil and abroad) of recognized expertise in the field of chemistry involved in the manuscript. The Editorial Council can be eventually asked to review manuscripts. Editors are responsible for the final edition of QN.