Pioneering integration of combinatorial chemistry and machine learning to accelerate the development of tailored LNPs for mRNA delivery

IF 14.7 1区医学 Q1 PHARMACOLOGY & PHARMACY

Acta Pharmaceutica Sinica. B Pub Date : 2024-11-01 DOI:10.1016/j.apsb.2024.08.032

Xi He , Pingyu Wang , Linbo Qing , Xiangrong Song

引用次数: 0

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率先将组合化学与机器学习相结合，加速开发用于 mRNA 输送的定制 LNPs

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

Acta Pharmaceutica Sinica. B Pharmacology, Toxicology and Pharmaceutics-General Pharmacology, Toxicology and Pharmaceutics

CiteScore

22.40

自引率

5.50%

发文量

1051

审稿时长

19 weeks

期刊介绍： The Journal of the Institute of Materia Medica, Chinese Academy of Medical Sciences, and the Chinese Pharmaceutical Association oversees the peer review process for Acta Pharmaceutica Sinica. B (APSB). Published monthly in English, APSB is dedicated to disseminating significant original research articles, rapid communications, and high-quality reviews that highlight recent advances across various pharmaceutical sciences domains. These encompass pharmacology, pharmaceutics, medicinal chemistry, natural products, pharmacognosy, pharmaceutical analysis, and pharmacokinetics. A part of the Acta Pharmaceutica Sinica series, established in 1953 and indexed in prominent databases like Chemical Abstracts, Index Medicus, SciFinder Scholar, Biological Abstracts, International Pharmaceutical Abstracts, Cambridge Scientific Abstracts, and Current Bibliography on Science and Technology, APSB is sponsored by the Institute of Materia Medica, Chinese Academy of Medical Sciences, and the Chinese Pharmaceutical Association. Its production and hosting are facilitated by Elsevier B.V. This collaborative effort ensures APSB's commitment to delivering valuable contributions to the pharmaceutical sciences community.