Predict Epitranscriptome Targets and Regulatory Functions of N ⁶-Methyladenosine (m⁶A) Writers and Erasers.

ABSTRACT: Currently, although many successful bioinformatics efforts have been reported in the epitranscriptomics field for N ⁶-methyladenosine (m⁶A) site identification, none is focused on the substrate specificity of different m⁶A-related enzymes, ie, the methyltransferases (writers) and demethylases (erasers). In this work, to untangle the target specificity and the regulatory functions of different RNA m⁶A writers (METTL3-METT14 and METTL16) and erasers (ALKBH5 and FTO), we extracted 49 genomic features along with the conventional sequence features and used the machine learning approach of random forest to predict their epitranscriptome substrates. Our method achieved reasonable performance on both the writer target prediction (as high as 0.918)

SUBMITTER: Song Y 

PROVIDER: S-EPMC6728658 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature