Arabian Journal of Geosciences | 2021

Bioinformatics analysis of mountain plant characteristics and ginsenoside glycosyltransferase based on image recognition

 
 

Abstract


With the rapid development of software and hardware technology and the advent of the era of big data, deep learning has made breakthroughs in more and more fields. Convolutional neural network is based on the biological vision system, combined with the characteristics of the image itself, and discusses the construction method, optimization algorithm, and classification recognition performance of the convolutional neural network model for image classification and recognition problems. Through image recognition and other technologies, it is understood that vegetation is the most important part of the ecosystem and is susceptible to human interference. Moreover, the decrease in species diversity of mountain plants is usually the most obvious manifestation of population degradation, and it also affects the changes in the ecological environment of mountain plants, which is the most important factor for changes in species diversity. Therefore, this article uses a typical sampling method to collect and study cultural heritage, plant species composition, and habitat factors in mountainous areas, and analyze their correlation. In recent years, with the development of high-throughput sequencing technology, a large number of genome and transcriptome sequences of medicinal plants have been analyzed, and more and more UGT genes have been discovered. Among them, glycosyltransferase is a key enzyme in the biosynthesis of ginsenosides, which can catalyze the transfer of sugar groups from donor molecules to acceptor molecules, thereby forming various glycoside compounds with biological activity. Common methods for detecting UGT genes include differential expression analysis, homologous sequence screening, gene cluster screening, and chemical proteomics screening. Therefore, this article uses image recognition technology to study the characteristics of mountain plants and the biological information of ginsenoside glycosyltransferase.

Volume 14
Pages None
DOI 10.1007/s12517-021-08174-0
Language English
Journal Arabian Journal of Geosciences

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