On October 31, 2021, He, Shiqian; Kong, Liang; Chen, Jing published an article.Quality Control of N-Methyl-7H-purin-6-amine The title of the article was iDNA6mA-Rice-DL: A local web server for identifying DNA N6-methyladenine sites in rice genome by deep learning method. And the article contained the following:
Accurate detection of N6-methyladenine (6mA) sites by biochem. experiments will help to reveal their biol. functions, still, these wet experiments are laborious and expensive. Therefore, it is necessary to introduce a powerful computational model to identify the 6mA sites on a genomic scale, especially for plant genomes. In view of this, we proposed a model called iDNA6mA-Rice-DL for the effective identification of 6mA sites in rice genome, which is an intelligent computing model based on deep learning method. Traditional machine learning methods assume the preparation of the features for anal. However, our proposed model automatically encodes and extracts key DNA features through an embedded layer and several groups of dense layers. We use an independent dataset to evaluate the generalization ability of our model. An area under the receiver operating characteristic curve (auROC) of 0.98 with an accuracy of 95.96% was obtained. The experiment results demonstrate that our model had good performance in predicting 6mA sites in the rice genome. A user-friendly local web server has been established. The experimental process involved the reaction of N-Methyl-7H-purin-6-amine(cas: 443-72-1).Quality Control of N-Methyl-7H-purin-6-amine
The Article related to rice genome web server deep learning, 6ma, dna, docker, deep learning, web server, Placeholder for records without volume info and other aspects.Quality Control of N-Methyl-7H-purin-6-amine
Referemce:
Imidazole – Wikipedia,
Imidazole | C3H4N2 – PubChem