Physiological and AI-based study of endophytes on medicinal plants: A mini review

IF 0.7 Q4 PLANT SCIENCES
Saloni Kunwar, Aditya Joshi, Prateek Gururani, D. Pandey, Neha Pandey
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引用次数: 0

Abstract

Research on the natural resources found in medicinal plants and endophytes makes important contributions to a wide variety of fields, including drug development, agribusiness, biotechnology, and sustainable development. Endophytes are a group of microorganisms that can be discovered in the rhizosphere of plants being used in medical treatment. These microorganisms have the capability of producing a wide range of primary and secondary metabolites by utilizing a variety of distinct biosynthetic pathways. Several different technologies, such as genetic modification and artificial intelligence (AI), play a significant role in the acceleration of endophytic research. These methods aid in the discovery and synthesis of novel compounds with medicinal promise, the predictive analysis of bioactive compounds, the identification and classification of endophytes, and the optimization of potential bioactive compounds. In light of this, the current review focuses on providing a concise comprehension of the influence of bioactive compounds secreted by specific endophytes on medicinal plants through the application of significant technologies in the field of endophytic research.
药用植物内生菌的生理和人工智能研究综述
对药用植物和内生菌中发现的自然资源的研究对药物开发、农业综合企业、生物技术和可持续发展等广泛领域做出了重要贡献。内生植物是一组可以在用于医疗的植物根际发现的微生物。这些微生物能够利用各种不同的生物合成途径产生广泛的初级和次级代谢产物。几种不同的技术,如基因修饰和人工智能(AI),在加速内生研究方面发挥着重要作用。这些方法有助于发现和合成具有药用前景的新化合物,对生物活性化合物进行预测分析,对内生菌进行鉴定和分类,并优化潜在的生物活性化合物。有鉴于此,本综述的重点是通过在内生研究领域应用重要技术,简要了解特定内生菌分泌的生物活性化合物对药用植物的影响。
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
Plant Science Today
Plant Science Today PLANT SCIENCES-
CiteScore
1.50
自引率
11.10%
发文量
177
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