{"title":"“You’ve got the Body I’ve got the Brains” – Could the current AI-based tools replace the human ingenuity for designing new drug candidates?","authors":"Edeildo Ferreira da Silva-Júnior","doi":"10.1016/j.bmc.2023.117475","DOIUrl":null,"url":null,"abstract":"<div><p><span>The emergence of artificial intelligence (AI) tools has transformed the landscape of drug<span><span> discovery, providing unprecedented speed, efficiency, and cost-effectiveness in the search for new therapeutics. From target identification to drug formulation and delivery, AI-driven algorithms have revolutionized various aspects of </span>medicinal chemistry, significantly accelerating the drug design process. Despite the transformative power of AI, this perspective article emphasizes the limitations of AI tools in drug discovery, requiring inventive skills of medicinal chemists. However, the article highlighted that there is a need for a harmonious integration of AI-based tools and human expertise in drug discovery. Such a synergistic approach promises to lead to groundbreaking therapies that address unmet medical needs and benefit humankind. As the world evolves technologically, the question remains: </span></span><em>When will AI tools effectively design and develop drugs?</em> The answer may lie in the seamless collaboration between AI and human researchers, unlocking transformative therapies that combat diseases effectively.</p></div>","PeriodicalId":255,"journal":{"name":"Bioorganic & Medicinal Chemistry","volume":"94 ","pages":"Article 117475"},"PeriodicalIF":3.3000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioorganic & Medicinal Chemistry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0968089623003231","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
The emergence of artificial intelligence (AI) tools has transformed the landscape of drug discovery, providing unprecedented speed, efficiency, and cost-effectiveness in the search for new therapeutics. From target identification to drug formulation and delivery, AI-driven algorithms have revolutionized various aspects of medicinal chemistry, significantly accelerating the drug design process. Despite the transformative power of AI, this perspective article emphasizes the limitations of AI tools in drug discovery, requiring inventive skills of medicinal chemists. However, the article highlighted that there is a need for a harmonious integration of AI-based tools and human expertise in drug discovery. Such a synergistic approach promises to lead to groundbreaking therapies that address unmet medical needs and benefit humankind. As the world evolves technologically, the question remains: When will AI tools effectively design and develop drugs? The answer may lie in the seamless collaboration between AI and human researchers, unlocking transformative therapies that combat diseases effectively.
期刊介绍:
Bioorganic & Medicinal Chemistry provides an international forum for the publication of full original research papers and critical reviews on molecular interactions in key biological targets such as receptors, channels, enzymes, nucleotides, lipids and saccharides.
The aim of the journal is to promote a better understanding at the molecular level of life processes, and living organisms, as well as the interaction of these with chemical agents. A special feature will be that colour illustrations will be reproduced at no charge to the author, provided that the Editor agrees that colour is essential to the information content of the illustration in question.