Emerging of artificial intelligence and technology in pharmaceuticals: review

IF 3.4 Q2 PHARMACOLOGY & PHARMACY Future Journal of Pharmaceutical Sciences Pub Date : 2023-08-08 DOI:10.1186/s43094-023-00517-w
Ayesha Sultana, Rahath Maseera, Abdul Rahamanulla, Alima Misiriya
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Abstract

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.

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人工智能与制药技术的兴起:综述
本综述涵盖了药物开发中的各种人工智能(AI)相关主题。此外,它还简要介绍了制药行业与各种人工智能合作在药物开发方面取得的最新进展。所有的科学事实都受到计算机和技术进步的影响。在所有科学技术领域,从基础工程到医学,人工智能已经成为一个至关重要的组成部分。人工智能对药物化学和医疗保健产生了巨大影响。近年来,使用计算机辅助药物制造已经超过了更传统的方法。人工智能经常用于减少时间和改进药物设计过程。利用人工智能可以轻松地发现目标蛋白质,从而进一步提高了开发药物的成功率。药物设计过程的每一步都涉及到人工智能技术的使用,这降低了成本,大大降低了与临床前研究相关的健康危害。人工智能是一种强大的数据挖掘技术,它基于大量的制药数据和机器学习过程。结论人工智能在新药设计、活性评分、虚拟筛选和药物分子特性(吸收、分布、代谢、排泄和毒性)的计算机评价中的应用是重要的。为了加速药物研究和医疗保健系统,制药公司已经与人工智能公司合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
44
审稿时长
23 weeks
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.
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