Vanisri. M, Sreesivasakthi. A, MuthuKaviya. M, Roja Jayashankar, Salai Dhivyathai. N, Rajaganapathy. K, Srinivasan.R
{"title":"利用室内分子建模技术、工具和数据库加速药物再利用:全面综述","authors":"Vanisri. M, Sreesivasakthi. A, MuthuKaviya. M, Roja Jayashankar, Salai Dhivyathai. N, Rajaganapathy. K, Srinivasan.R","doi":"10.30574/ijsra.2024.12.2.1197","DOIUrl":null,"url":null,"abstract":"Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"9 37","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accelerate drug repurposing with in-silico molecular modelling techniques, tools and databases: A comprehensive review\",\"authors\":\"Vanisri. M, Sreesivasakthi. A, MuthuKaviya. M, Roja Jayashankar, Salai Dhivyathai. N, Rajaganapathy. K, Srinivasan.R\",\"doi\":\"10.30574/ijsra.2024.12.2.1197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.\",\"PeriodicalId\":14366,\"journal\":{\"name\":\"International Journal of Science and Research Archive\",\"volume\":\"9 37\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Science and Research Archive\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30574/ijsra.2024.12.2.1197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Science and Research Archive","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30574/ijsra.2024.12.2.1197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accelerate drug repurposing with in-silico molecular modelling techniques, tools and databases: A comprehensive review
Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.