Ayesha Sultana, Rahath Maseera, Abdul Rahamanulla, Alima Misiriya
{"title":"人工智能与制药技术的兴起:综述","authors":"Ayesha Sultana, Rahath Maseera, Abdul Rahamanulla, Alima Misiriya","doi":"10.1186/s43094-023-00517-w","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The review covers a variety of Artificial intelligence (AI) related topics in medication development. Additionally, it gives a quick account of the recent advances made in drug development by the pharmaceutical industry in cooperation with various AI. All facts of science have been impacted by advances in computing and technology. In all fields of science and technology, from fundamental engineering to medicine, AI has become a crucial component. AI has so influenced pharmaceutical chemistry and health care.</p><h3>Main body</h3><p>The use of computers to assist in drug creation has overtaken more conventional approaches in recent years. AI is frequently utilised to reduce the amount of time and improve drug design processes. The success rate of the developed medicine is further increased by the ease with which the target proteins may be discovered utilising AI. Every step of the medication design process involves the use of AI technology, which lowers the cost and greatly lowers the health hazards related to preclinical studies. AI is a powerful data mining technique that is based on vast amounts of pharmaceutical data and the machine learning process.</p><h3>Conclusion</h3><p>The use of AI in de novo drug design, activity scoring, virtual screening, and In silico evaluation of drug molecule characteristics is the consequence (absorption, distribution, metabolism, excretion, and toxicity). To speed up drug research and the healthcare system, pharmaceutical companies have joined with AI firms.</p></div>","PeriodicalId":577,"journal":{"name":"Future Journal of Pharmaceutical Sciences","volume":"9 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fjps.springeropen.com/counter/pdf/10.1186/s43094-023-00517-w","citationCount":"0","resultStr":"{\"title\":\"Emerging of artificial intelligence and technology in pharmaceuticals: review\",\"authors\":\"Ayesha Sultana, Rahath Maseera, Abdul Rahamanulla, Alima Misiriya\",\"doi\":\"10.1186/s43094-023-00517-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The review covers a variety of Artificial intelligence (AI) related topics in medication development. Additionally, it gives a quick account of the recent advances made in drug development by the pharmaceutical industry in cooperation with various AI. All facts of science have been impacted by advances in computing and technology. In all fields of science and technology, from fundamental engineering to medicine, AI has become a crucial component. AI has so influenced pharmaceutical chemistry and health care.</p><h3>Main body</h3><p>The use of computers to assist in drug creation has overtaken more conventional approaches in recent years. AI is frequently utilised to reduce the amount of time and improve drug design processes. The success rate of the developed medicine is further increased by the ease with which the target proteins may be discovered utilising AI. Every step of the medication design process involves the use of AI technology, which lowers the cost and greatly lowers the health hazards related to preclinical studies. AI is a powerful data mining technique that is based on vast amounts of pharmaceutical data and the machine learning process.</p><h3>Conclusion</h3><p>The use of AI in de novo drug design, activity scoring, virtual screening, and In silico evaluation of drug molecule characteristics is the consequence (absorption, distribution, metabolism, excretion, and toxicity). To speed up drug research and the healthcare system, pharmaceutical companies have joined with AI firms.</p></div>\",\"PeriodicalId\":577,\"journal\":{\"name\":\"Future Journal of Pharmaceutical Sciences\",\"volume\":\"9 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://fjps.springeropen.com/counter/pdf/10.1186/s43094-023-00517-w\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Journal of Pharmaceutical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s43094-023-00517-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Journal of Pharmaceutical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s43094-023-00517-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Emerging of artificial intelligence and technology in pharmaceuticals: review
Background
The review covers a variety of Artificial intelligence (AI) related topics in medication development. Additionally, it gives a quick account of the recent advances made in drug development by the pharmaceutical industry in cooperation with various AI. All facts of science have been impacted by advances in computing and technology. In all fields of science and technology, from fundamental engineering to medicine, AI has become a crucial component. AI has so influenced pharmaceutical chemistry and health care.
Main body
The use of computers to assist in drug creation has overtaken more conventional approaches in recent years. AI is frequently utilised to reduce the amount of time and improve drug design processes. The success rate of the developed medicine is further increased by the ease with which the target proteins may be discovered utilising AI. Every step of the medication design process involves the use of AI technology, which lowers the cost and greatly lowers the health hazards related to preclinical studies. AI is a powerful data mining technique that is based on vast amounts of pharmaceutical data and the machine learning process.
Conclusion
The use of AI in de novo drug design, activity scoring, virtual screening, and In silico evaluation of drug molecule characteristics is the consequence (absorption, distribution, metabolism, excretion, and toxicity). To speed up drug research and the healthcare system, pharmaceutical companies have joined with AI firms.
期刊介绍:
Future Journal of Pharmaceutical Sciences (FJPS) is the official journal of the Future University in Egypt. It is a peer-reviewed, open access journal which publishes original research articles, review articles and case studies on all aspects of pharmaceutical sciences and technologies, pharmacy practice and related clinical aspects, and pharmacy education. The journal publishes articles covering developments in drug absorption and metabolism, pharmacokinetics and dynamics, drug delivery systems, drug targeting and nano-technology. It also covers development of new systems, methods and techniques in pharmacy education and practice. The scope of the journal also extends to cover advancements in toxicology, cell and molecular biology, biomedical research, clinical and pharmaceutical microbiology, pharmaceutical biotechnology, medicinal chemistry, phytochemistry and nutraceuticals.