On August 31, 2022, Cai, Jianhua; Xiao, Guobao; Su, Ran published an article.Product Details of 443-72-1 The title of the article was GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome. And the article contained the following:
DNA N6-methyladenine (6mA) is a pivotal DNA modification for various biol. processes. More accurate prediction of 6mA methylation sites plays an irreplaceable part in grasping the internal rationale of related biol. activities. However, the existing prediction methods only extract information from a single dimension, which has some limitations. Therefore, it is very necessary to obtain the information of 6mA sites from different dimensions, so as to establish a reliable prediction method. In this study, a neural network based bioinformatics model named GC6mA-Pred is proposed to predict N6-methyladenine modifications in DNA sequences. GC6mA-Pred extracts significant information from both sequence level and graph level. In the sequence level, GC6mA-Pred uses a three-layer convolution neural network (CNN) model to represent the sequence. In the graph level, GC6mA-Pred employs graph neural network (GNN) method to integrate various information contained in the chem. mol. formula corresponding to DNA sequence. In our newly built dataset, GC6mA-Pred shows better performance than other existing models. The results of comparative experiments have illustrated that GC6mA-Pred is capable of producing a marked effect in accurately identifying DNA 6mA modifications. The experimental process involved the reaction of N-Methyl-7H-purin-6-amine(cas: 443-72-1).Product Details of 443-72-1
The Article related to rice genome deep learning dna n6methyladenine, convolution neural network, dna n6-methyladenine, deep learning, graph neural network, Plant Biochemistry: Other and other aspects.Product Details of 443-72-1
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