Suppr超能文献

真菌药物研发治疗慢性疾病:历史、新发现和新方法。

Fungal Drug Discovery for Chronic Disease: History, New Discoveries and New Approaches.

机构信息

Royal Botanic Gardens, Kew, Richmond TW9 3AB, Surrey, UK.

Earlham Institute, Norwich NR4 7UZ, Norfolk, UK.

出版信息

Biomolecules. 2023 Jun 14;13(6):986. doi: 10.3390/biom13060986.

Abstract

Fungal-derived drugs include some of the most important medicines ever discovered, and have proved pivotal in treating chronic diseases. Not only have they saved millions of lives, but they have in some cases changed perceptions of what is medically possible. However, now the low-hanging fruit have been discovered it has become much harder to make the kind of discoveries that have characterised past eras of fungal drug discovery. This may be about to change with new commercial players entering the market aiming to apply novel genomic tools to streamline the discovery process. This review examines the discovery history of approved fungal-derived drugs, and those currently in clinical trials for chronic diseases. For key molecules, we discuss their possible ecological functions in nature and how this relates to their use in human medicine. We show how the conservation of drug receptors between fungi and humans means that metabolites intended to inhibit competitor fungi often interact with human drug receptors, sometimes with unintended benefits. We also plot the distribution of drugs, antimicrobial compounds and psychoactive mushrooms onto a fungal tree and compare their distribution to those of all fungal metabolites. Finally, we examine the phenomenon of self-resistance and how this can be used to help predict metabolite mechanism of action and aid the drug discovery process.

摘要

真菌来源的药物包括一些有史以来最重要的药物,已被证明在治疗慢性病方面至关重要。它们不仅挽救了数百万人的生命,而且在某些情况下改变了人们对医学可能性的看法。然而,随着新型商业参与者进入市场,利用新型基因组工具来简化发现过程,现在已经很难做出过去真菌药物发现时代的那种发现了。这可能即将改变。本文回顾了已批准的真菌来源药物的发现历史,以及目前用于治疗慢性疾病的临床试验中的药物。对于关键分子,我们讨论了它们在自然界中的可能生态功能,以及这与它们在人类医学中的应用有何关系。我们展示了真菌和人类之间药物受体的保守性意味着,旨在抑制竞争性真菌的代谢物通常与人类药物受体相互作用,有时会带来意想不到的好处。我们还将药物、抗菌化合物和致幻蘑菇的分布绘制到真菌树上,并将其与所有真菌代谢物的分布进行比较。最后,我们研究了自我抵抗现象,以及如何利用它来帮助预测代谢物的作用机制并促进药物发现过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6932/10296638/452b523e4d0a/biomolecules-13-00986-g001a.jpg

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