Suppr超能文献

当前和新兴的工具和策略,用于鉴定复杂混合物中的生物活性天然产物。

Current and emerging tools and strategies for the identification of bioactive natural products in complex mixtures.

机构信息

Univ. Angers, SONAS, SFR QUASAV, F-49000 Angers, France.

出版信息

Nat Prod Rep. 2024 Nov 13;41(11):1766-1786. doi: 10.1039/d4np00006d.

Abstract

Covering: up to 2024The prompt identification of (bio)active natural products (NPs) from complex mixtures poses a significant challenge due to the presence of numerous compounds with diverse structures and (bio)activities. Thus, this review provides an overview of current and emerging tools and strategies for the identification of (bio)active NPs in complex mixtures. Traditional approaches of bioassay-guided fractionation (BGF), followed by nuclear magnetic resonance (NMR) and mass spectrometry (MS) analysis for compound structure elucidation, continue to play an important role in the identification of active NPs. However, recent advances (2018-2024) have led to the development of novel techniques such as (bio)chemometric analysis, dereplication and combined approaches, which allow efficient prioritization for the elucidation of (bio)active compounds. For researchers involved in the search for bioactive NPs and who want to speed up their discoveries while maintaining accurate identifications, this review highlights the strengths and limitations of each technique and provides up-to-date insights into their combined use to achieve the highest level of confidence in the identification of (bio)active natural products from complex matrices.

摘要

涵盖

截至 2024 年

由于存在大量结构和(生物)活性多样的化合物,因此从复杂混合物中快速鉴定(生物)活性天然产物(NPs)是一项重大挑战。因此,本综述概述了当前和新兴的用于鉴定复杂混合物中(生物)活性 NPs 的工具和策略。基于生物测定的分步分离(BGF),随后进行核磁共振(NMR)和质谱(MS)分析以阐明化合物结构的传统方法,在鉴定活性 NPs 方面继续发挥重要作用。然而,最近的进展(2018-2024 年)导致了新的技术的发展,如(生物)化学计量分析、去重复和联合方法,这些方法允许有效地对(生物)活性化合物的阐明进行优先级排序。对于从事寻找生物活性 NPs 的研究人员,如果他们希望加快发现速度,同时保持准确的鉴定,本综述强调了每种技术的优缺点,并提供了最新的见解,了解它们的联合使用,以在从复杂基质中鉴定(生物)活性天然产物方面达到最高的置信度。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验