Bioactivation and reactivity research advances - 2022 year in review‡.

IF 3.4 2区 医学 Q2 PHARMACOLOGY & PHARMACY
Drug Metabolism Reviews Pub Date : 2023-11-01 Epub Date: 2023-08-22 DOI:10.1080/03602532.2023.2244193
Shuai Wang, Upendra A Argikar, Lionel Cheruzel, Sungjoon Cho, Rachel D Crouch, Deepika Dhaware, Carley J S Heck, Kevin M Johnson, Amit S Kalgutkar, Lloyd King, Joyce Liu, Bin Ma, Hlaing Maw, Grover P Miller, Herana Kamal Seneviratne, Ryan H Takahashi, Cong Wei, S Cyrus Khojasteh
{"title":"Bioactivation and reactivity research advances - 2022 year in review‡.","authors":"Shuai Wang, Upendra A Argikar, Lionel Cheruzel, Sungjoon Cho, Rachel D Crouch, Deepika Dhaware, Carley J S Heck, Kevin M Johnson, Amit S Kalgutkar, Lloyd King, Joyce Liu, Bin Ma, Hlaing Maw, Grover P Miller, Herana Kamal Seneviratne, Ryan H Takahashi, Cong Wei, S Cyrus Khojasteh","doi":"10.1080/03602532.2023.2244193","DOIUrl":null,"url":null,"abstract":"<p><p>With the 50th year mark since the launch of <i>Drug Metabolism and Disposition</i> journal, the field of drug metabolism and bioactivation has advanced exponentially in the past decades (Guengerich 2023).This has, in a major part, been due to the continued advances across the whole spectrum of applied technologies in hardware, software, machine learning (ML), and artificial intelligence (AI). LC-MS platforms continue to evolve to support key applications in the field, and automation is also improving the accuracy, precision, and throughput of these supporting assays. In addition, sample generation and processing is being aided by increased diversity and quality of reagents and bio-matrices so that what is being analyzed is more relevant and translatable. The application of <i>in silico</i> platforms (applied software, ML, and AI) is also making great strides, and in tandem with the more traditional approaches mentioned previously, is significantly advancing our understanding of bioactivation pathways and how these play a role in toxicity. All of this continues to allow the area of bioactivation to evolve in parallel with associated fields to help bring novel or improved medicines to patients with urgent or unmet needs.Shuai Wang and Cyrus Khojasteh, on behalf of the authors.</p>","PeriodicalId":11307,"journal":{"name":"Drug Metabolism Reviews","volume":" ","pages":"267-300"},"PeriodicalIF":3.4000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Metabolism Reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/03602532.2023.2244193","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

With the 50th year mark since the launch of Drug Metabolism and Disposition journal, the field of drug metabolism and bioactivation has advanced exponentially in the past decades (Guengerich 2023).This has, in a major part, been due to the continued advances across the whole spectrum of applied technologies in hardware, software, machine learning (ML), and artificial intelligence (AI). LC-MS platforms continue to evolve to support key applications in the field, and automation is also improving the accuracy, precision, and throughput of these supporting assays. In addition, sample generation and processing is being aided by increased diversity and quality of reagents and bio-matrices so that what is being analyzed is more relevant and translatable. The application of in silico platforms (applied software, ML, and AI) is also making great strides, and in tandem with the more traditional approaches mentioned previously, is significantly advancing our understanding of bioactivation pathways and how these play a role in toxicity. All of this continues to allow the area of bioactivation to evolve in parallel with associated fields to help bring novel or improved medicines to patients with urgent or unmet needs.Shuai Wang and Cyrus Khojasteh, on behalf of the authors.

生物活性和反应性研究进展——2022年综述。
《药物代谢与处置》杂志创刊50周年,药物代谢和生物活性领域在过去几十年里呈指数级发展(Guengerich 2023)。这在很大程度上是由于硬件、软件、机器学习和人工智能等应用技术的持续进步。LC-MS平台不断发展,以支持该领域的关键应用,自动化也在提高这些支持分析的准确性、精密度和吞吐量。此外,试剂和生物基质的多样性和质量不断提高,有助于样品的生成和处理,从而使所分析的内容更加相关和可翻译。计算机平台(应用软件、ML和AI)的应用也取得了长足的进步,与前面提到的更传统的方法相结合,大大提高了我们对生物激活途径以及这些途径如何在毒性中发挥作用的理解。所有这些都继续使生物激活领域与相关领域并行发展,以帮助为有紧急或未满足需求的患者带来新的或改进的药物。王帅和Cyrus Khojasteh,代表作者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Drug Metabolism Reviews
Drug Metabolism Reviews 医学-药学
CiteScore
11.10
自引率
1.70%
发文量
21
审稿时长
1 months
期刊介绍: Drug Metabolism Reviews consistently provides critically needed reviews of an impressive array of drug metabolism research-covering established, new, and potential drugs; environmentally toxic chemicals; absorption; metabolism and excretion; and enzymology of all living species. Additionally, the journal offers new hypotheses of interest to diverse groups of medical professionals including pharmacologists, toxicologists, chemists, microbiologists, pharmacokineticists, immunologists, mass spectroscopists, as well as enzymologists working in xenobiotic biotransformation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信