人工智能、分子动力学及其他:化妆品研究和配方设计中的计算见解。

IF 2.8 4区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Tiago Ferreira, Artur Cavaco-Paulo, Tarsila G. Castro
{"title":"人工智能、分子动力学及其他:化妆品研究和配方设计中的计算见解。","authors":"Tiago Ferreira,&nbsp;Artur Cavaco-Paulo,&nbsp;Tarsila G. Castro","doi":"10.1002/cplu.202500340","DOIUrl":null,"url":null,"abstract":"<p>The vast field of cosmetics is mainly explored through experimental methods, while computational tools find broader application in structuralbiology. The world of formulations remains relatively untouched or nondisclosed due to commercial interests. This work aims to better understand the applications of in silico methods in cosmetics research, at the molecular level, and how the recent work is advancing the state of the art. The integration of AI, molecular docking, and molecular dynamics simulations in cosmetics research enables the efficient discovery and optimization of ingredients, leading to innovative and effective cosmetic products. Importantly, the establishment of predictive computational protocols suitable for different cosmetic applications optimizes experimental processes and simplify testing, being economically important for the industry.</p>","PeriodicalId":148,"journal":{"name":"ChemPlusChem","volume":"90 10","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence, Molecular Dynamics, and Beyond: Computational Insights In Cosmetics Research and Formulation Design\",\"authors\":\"Tiago Ferreira,&nbsp;Artur Cavaco-Paulo,&nbsp;Tarsila G. Castro\",\"doi\":\"10.1002/cplu.202500340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The vast field of cosmetics is mainly explored through experimental methods, while computational tools find broader application in structuralbiology. The world of formulations remains relatively untouched or nondisclosed due to commercial interests. This work aims to better understand the applications of in silico methods in cosmetics research, at the molecular level, and how the recent work is advancing the state of the art. The integration of AI, molecular docking, and molecular dynamics simulations in cosmetics research enables the efficient discovery and optimization of ingredients, leading to innovative and effective cosmetic products. Importantly, the establishment of predictive computational protocols suitable for different cosmetic applications optimizes experimental processes and simplify testing, being economically important for the industry.</p>\",\"PeriodicalId\":148,\"journal\":{\"name\":\"ChemPlusChem\",\"volume\":\"90 10\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ChemPlusChem\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cplu.202500340\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ChemPlusChem","FirstCategoryId":"92","ListUrlMain":"https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cplu.202500340","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

化妆品的广阔领域主要通过实验方法进行探索,而计算工具在结构生物学中有更广泛的应用。由于商业利益的关系,配方的世界仍然相对未被触及或未被披露。这项工作的目的是更好地了解在分子水平上的硅方法在化妆品研究中的应用,以及最近的工作是如何推进艺术状态的。人工智能、分子对接和分子动力学模拟在化妆品研究中的整合,使成分的高效发现和优化成为可能,从而带来创新和有效的化妆品。重要的是,适用于不同化妆品应用的预测计算协议的建立优化了实验过程并简化了测试,对该行业具有重要的经济意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial Intelligence, Molecular Dynamics, and Beyond: Computational Insights In Cosmetics Research and Formulation Design

Artificial Intelligence, Molecular Dynamics, and Beyond: Computational Insights In Cosmetics Research and Formulation Design

The vast field of cosmetics is mainly explored through experimental methods, while computational tools find broader application in structuralbiology. The world of formulations remains relatively untouched or nondisclosed due to commercial interests. This work aims to better understand the applications of in silico methods in cosmetics research, at the molecular level, and how the recent work is advancing the state of the art. The integration of AI, molecular docking, and molecular dynamics simulations in cosmetics research enables the efficient discovery and optimization of ingredients, leading to innovative and effective cosmetic products. Importantly, the establishment of predictive computational protocols suitable for different cosmetic applications optimizes experimental processes and simplify testing, being economically important for the industry.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ChemPlusChem
ChemPlusChem CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
5.90
自引率
0.00%
发文量
200
审稿时长
1 months
期刊介绍: ChemPlusChem is a peer-reviewed, general chemistry journal that brings readers the very best in multidisciplinary research centering on chemistry. It is published on behalf of Chemistry Europe, an association of 16 European chemical societies. Fully comprehensive in its scope, ChemPlusChem publishes articles covering new results from at least two different aspects (subfields) of chemistry or one of chemistry and one of another scientific discipline (one chemistry topic plus another one, hence the title ChemPlusChem). All suitable submissions undergo balanced peer review by experts in the field to ensure the highest quality, originality, relevance, significance, and validity.
×
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:604180095
Book学术官方微信