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Cited by in F6Publishing
For: Wang K, Hu G, Wu Z, Su H, Yang J, Kurgan L. Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type. Int J Mol Sci 2020;21:E6879. [PMID: 32961749 DOI: 10.3390/ijms21186879] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Nie W, Deng L. TSNAPred: predicting type-specific nucleic acid binding residues via an ensemble approach. Brief Bioinform 2022:bbac244. [PMID: 35753699 DOI: 10.1093/bib/bbac244] [Reference Citation Analysis]
2 Biro B, Zhao B, Kurgan L. Complementarity of the residue-level protein function and structure predictions in human proteins. Computational and Structural Biotechnology Journal 2022. [DOI: 10.1016/j.csbj.2022.05.003] [Reference Citation Analysis]
3 Zhao B, Kurgan L. Deep Learning in Prediction of Intrinsic Disorder in Proteins. Computational and Structural Biotechnology Journal 2022. [DOI: 10.1016/j.csbj.2022.03.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
4 Zhao B, Kurgan L. Surveying over 100 predictors of intrinsic disorder in proteins. Expert Rev Proteomics 2021;:1-11. [PMID: 34894985 DOI: 10.1080/14789450.2021.2018304] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
5 Zhang F, Zhao B, Shi W, Li M, Kurgan L. DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Brief Bioinform 2021:bbab521. [PMID: 34905768 DOI: 10.1093/bib/bbab521] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
6 Zhang J, Ghadermarzi S, Katuwawala A, Kurgan L. DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences. Brief Bioinform 2021;22:bbab336. [PMID: 34415020 DOI: 10.1093/bib/bbab336] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]