biostudies-literatureDou LNatural Science Foundation of ChinaScientific Research FoundationNatural Science Foundation of Guangdong ProvincePost-doctoral Foundation Project of Shenzhen Polytechnic2236-2246https://www.ebi.ac.uk/biostudies/studies/S-EPMC8632091biostudies-literatureUnknown18(12)As one of the common post-transcriptional modifications in tRNAs, dihydrouridine (D) has prominent effects on regulating the flexibility of tRNA as well as cancerous diseases. Facing with the expensive and time-consuming sequencing techniques to detect D modification, precise computational tools can largely promote the progress of molecular mechanisms and medical developments. We proposed a novel predictor, called iRNAD_XGBoost, to identify potential D sites using multiple RNA sequence representations. In this method, by considering the imbalance problem using hybrid sampling method SMOTEEEN, the XGBoost-selected top 30 features are applied to construct model. The optimized model showed high <i>Sn</i> and <i>Sp</i> values of 97.13% and 97.38% over jackknife test, respectively. For the indeRNA biologyAccurate identification of RNA D modification using multiple features.PMC86320912018A0303130084619022596020330003KJCYJ20170818100431895Xu LDou LHan KZhou WZhang LfalseAccurate identification of RNA D modification using multiple features.As one of the common post-transcriptional modifications in tRNAs, dihydrouridine (D) has prominent effects on regulating the flexibility of tRNA as well as cancerous diseases. Facing with the expensive and time-consuming sequencing techniques to detect D modification, precise computational tools can largely promote the progress of molecular mechanisms and medical developments. We proposed a novel predictor, called iRNAD_XGBoost, to identify potential D sites using multiple RNA sequence representations. In this method, by considering the imbalance problem using hybrid sampling method SMOTEEEN, the XGBoost-selected top 30 features are applied to construct model. The optimized model showed high <i>Sn</i> and <i>Sp</i> values of 97.13% and 97.38% over jackknife test, respectively. For the inde2021-01-01T00:00:00Z2021 Dec2025-06-01T02:32:37.077Z2025-06-01T02:32:37.077ZS-EPMC86320913372910410.1080/15476286.2021.1898160