{"title":"综述发现潜在 Covid-19 疗法的最新理论方法","authors":"Apurba K Bhattacharjee","doi":"10.1007/s10910-024-01626-4","DOIUrl":null,"url":null,"abstract":"<div><p>SARS CoV-2 virus (COVID-19) emerged as a highly infectious human pathogen in late 2019. Started in China but rapidly started spreading all over the world and soon became a pandemic. More than seven million deaths have been reported so far that devasted millions of families worldwide. Several drugs, such as hydroxychloroquine, chloroquine, remdesivir, favipiravir and arbidol have undergone some clinical studies since early 2020, but their safety concerns remained a serious issue. However, within an year from late 2019, several successful vaccines were invented to prevent people from the infection. Almost at the same time, two drugs were discovered. These are PAXLOVID™ (nirmatrelvir, ritonavir) from Pfizer and molnupiravir from Merck which were soon approved by the US-FDA, for emergency use in the treatment of COVID-19. But several challenges were soon reported in treatments with these drugs, particularly for those who are immunocompromised or have vaccine immunity and suffering for a long time from the infection (known as long-COVID). Complex issues for treatments of long-COVID patients continue to remain unresolved. Thus, discovery of new drugs to assist treatment for emerging COVID-19 problems is urgently needed. But it is important to note that discovery of new COVID-19 therapeutics, particularly small molecules is not a simple task. However, there are several excellent reviews on attempts for COVID-19 drug discovery including a handful of articles on theoretical approaches towards the goal. This review summarizes the theoretical attempts for discovery of COVID-19 drugs, their challenges and future opportunities along with efforts from the author’s lab.</p></div>","PeriodicalId":648,"journal":{"name":"Journal of Mathematical Chemistry","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A review on recent theoretical approaches made in the discovery of potential Covid-19 therapeutics\",\"authors\":\"Apurba K Bhattacharjee\",\"doi\":\"10.1007/s10910-024-01626-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>SARS CoV-2 virus (COVID-19) emerged as a highly infectious human pathogen in late 2019. Started in China but rapidly started spreading all over the world and soon became a pandemic. More than seven million deaths have been reported so far that devasted millions of families worldwide. Several drugs, such as hydroxychloroquine, chloroquine, remdesivir, favipiravir and arbidol have undergone some clinical studies since early 2020, but their safety concerns remained a serious issue. However, within an year from late 2019, several successful vaccines were invented to prevent people from the infection. Almost at the same time, two drugs were discovered. These are PAXLOVID™ (nirmatrelvir, ritonavir) from Pfizer and molnupiravir from Merck which were soon approved by the US-FDA, for emergency use in the treatment of COVID-19. But several challenges were soon reported in treatments with these drugs, particularly for those who are immunocompromised or have vaccine immunity and suffering for a long time from the infection (known as long-COVID). Complex issues for treatments of long-COVID patients continue to remain unresolved. Thus, discovery of new drugs to assist treatment for emerging COVID-19 problems is urgently needed. But it is important to note that discovery of new COVID-19 therapeutics, particularly small molecules is not a simple task. However, there are several excellent reviews on attempts for COVID-19 drug discovery including a handful of articles on theoretical approaches towards the goal. This review summarizes the theoretical attempts for discovery of COVID-19 drugs, their challenges and future opportunities along with efforts from the author’s lab.</p></div>\",\"PeriodicalId\":648,\"journal\":{\"name\":\"Journal of Mathematical Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mathematical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10910-024-01626-4\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s10910-024-01626-4","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
A review on recent theoretical approaches made in the discovery of potential Covid-19 therapeutics
SARS CoV-2 virus (COVID-19) emerged as a highly infectious human pathogen in late 2019. Started in China but rapidly started spreading all over the world and soon became a pandemic. More than seven million deaths have been reported so far that devasted millions of families worldwide. Several drugs, such as hydroxychloroquine, chloroquine, remdesivir, favipiravir and arbidol have undergone some clinical studies since early 2020, but their safety concerns remained a serious issue. However, within an year from late 2019, several successful vaccines were invented to prevent people from the infection. Almost at the same time, two drugs were discovered. These are PAXLOVID™ (nirmatrelvir, ritonavir) from Pfizer and molnupiravir from Merck which were soon approved by the US-FDA, for emergency use in the treatment of COVID-19. But several challenges were soon reported in treatments with these drugs, particularly for those who are immunocompromised or have vaccine immunity and suffering for a long time from the infection (known as long-COVID). Complex issues for treatments of long-COVID patients continue to remain unresolved. Thus, discovery of new drugs to assist treatment for emerging COVID-19 problems is urgently needed. But it is important to note that discovery of new COVID-19 therapeutics, particularly small molecules is not a simple task. However, there are several excellent reviews on attempts for COVID-19 drug discovery including a handful of articles on theoretical approaches towards the goal. This review summarizes the theoretical attempts for discovery of COVID-19 drugs, their challenges and future opportunities along with efforts from the author’s lab.
期刊介绍:
The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches.
Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.