化妆品
生化工程
计算机科学
分子动力学
纳米技术
计算模型
数据科学
管理科学
风险分析(工程)
人工智能
化学
工程类
材料科学
计算化学
业务
有机化学
作者
Tiago Ferreira,Artur Cavaco‐Paulo,Tarsila G. Castro
标识
DOI:10.1002/cplu.202500340
摘要
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.
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