DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers.

ABSTRACT:

Background

Dihydrouridine (D) is a modified transfer RNA post-transcriptional modification (PTM) that occurs abundantly in bacteria, eukaryotes, and archaea. The D modification assists in the stability and conformational flexibility of tRNA. The D modification is also responsible for pulmonary carcinogenesis in humans.

Objective

For the detection of D sites, mass spectrometry and site-directed mutagenesis have been developed. However, both are labor-intensive and time-consuming methods. The availability of sequence data has provided the opportunity to build computational models for enhancing the identification of D sites. Based on the sequence data, the DHU-Pred model was proposed in this study to find possible D sites.

Methodology

The model was built by employing com

SUBMITTER: Suleman MT 

PROVIDER: S-EPMC9618264 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature