BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Zhao B, Katuwawala A, Oldfield CJ, Dunker AK, Faraggi E, Gsponer J, Kloczkowski A, Malhis N, Mirdita M, Obradovic Z, Söding J, Steinegger M, Zhou Y, Kurgan L. DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res 2021;49:D298-308. [PMID: 33119734 DOI: 10.1093/nar/gkaa931] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Wu S, Feng J, Liu C, Wu H, Qiu Z, Ge J, Sun S, Hong X, Li Y, Wang X, Yang A, Guo F, Qiao J. Machine learning aided construction of the quorum sensing communication network for human gut microbiota. Nat Commun 2022;13:3079. [PMID: 35654892 DOI: 10.1038/s41467-022-30741-6] [Reference Citation Analysis]
2 Chen Z, Liu X, Zhao P, Li C, Wang Y, Li F, Akutsu T, Bain C, Gasser RB, Li J, Yang Z, Gao X, Kurgan L, Song J. iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets. Nucleic Acids Res 2022:gkac351. [PMID: 35524557 DOI: 10.1093/nar/gkac351] [Reference Citation Analysis]
3 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]
4 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] [Article Influence: 4.0] [Reference Citation Analysis]
5 Kurgan L. Resources for computational prediction of intrinsic disorder in proteins. Methods 2022. [DOI: 10.1016/j.ymeth.2022.03.018] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
6 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] [Reference Citation Analysis]
7 Zhao B, Katuwawala A, Oldfield CJ, Hu G, Wu Z, Uversky VN, Kurgan L. Intrinsic Disorder in Human RNA-Binding Proteins. J Mol Biol 2021;433:167229. [PMID: 34487791 DOI: 10.1016/j.jmb.2021.167229] [Reference Citation Analysis]
8 Bondos SE, Dunker AK, Uversky VN. On the roles of intrinsically disordered proteins and regions in cell communication and signaling. Cell Commun Signal 2021;19:88. [PMID: 34461937 DOI: 10.1186/s12964-021-00774-3] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Moffat L, Jones DT. Increasing the Accuracy of Single Sequence Prediction Methods Using a Deep Semi-Supervised Learning Framework. Bioinformatics 2021:btab491. [PMID: 34213528 DOI: 10.1093/bioinformatics/btab491] [Reference Citation Analysis]