Jul 19, 2015 · This chapter proposes efficient protein feature representations for the prediction of DNA-binding proteins and their classes. The prediction ...
Oct 22, 2024 · This chapter proposes efficient protein feature representations for the prediction of DNA-binding proteins and their classes. The prediction ...
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improved sequence-based prediction of DNA-binding amino acids using ...
pubmed.ncbi.nlm.nih.gov › ...
Jan 25, 2024 · HybridDBRpred provides accurate predictions and low levels of cross-predictions across the two annotation types, and is statistically more accurate.
Missing: Enhanced Classes.
Jun 10, 2024 · The multi-class approach greatly improves the prediction accuracy of DBPs and RBPs, especially for the DBPs with ~12% improvement. Moreover, we ...
Dec 4, 2023 · Current predictors of DNA-binding residues (DBRs) from protein sequences belong to two distinct groups, those trained on binding annotations ...
Sep 7, 2024 · In this study, we propose a method ESM-DBP through refining the DNA-binding protein sequence repertory and domain-adaptive pretraining based the general ...
[PDF] pLM-DBPs: Enhanced DNA-Binding Protein Prediction in Plants Using ...
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Oct 6, 2024 · Our results show that using pLM-based representations significantly improves prediction accuracy, suggesting that these models are adept at ...
We propose a novel and accurate method namely DeepDBS for the identification of DNA-binding sites in proteins, using primary amino acid sequences of proteins ...
The multi-class approach greatly improves the prediction accuracy of DBPs and RBPs, especially for the DBPs with ~12% improvement. Moreover, we explored the ...
Nov 14, 2019 · If contextual relationships exist in amino acid sequences, capturing those features might improve the ability to predict DNA-binding proteins.