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For: Pujols J, Santos J, Pallarès I, Ventura S. The Disordered C-Terminus of Yeast Hsf1 Contains a Cryptic Low-Complexity Amyloidogenic Region. Int J Mol Sci 2018;19:E1384. [PMID: 29734798 DOI: 10.3390/ijms19051384] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 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]
2 French-pacheco L, Rosas-bringas O, Segovia L, Covarrubias AA. Intrinsically disordered signaling proteins: Essential hub players in the control of stress responses in Saccharomyces cerevisiae. PLoS ONE 2022;17:e0265422. [DOI: 10.1371/journal.pone.0265422] [Reference Citation Analysis]
3 Liu AY, Minetti CA, Remeta DP, Breslauer KJ, Chen KY. HSF1, Aging, and Neurodegeneration. Advances in Experimental Medicine and Biology 2022. [DOI: 10.1007/5584_2022_733] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 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 Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 7.0] [Reference Citation Analysis]
5 Santos J, Pujols J, Pallarès I, Iglesias V, Ventura S. Computational prediction of protein aggregation: Advances in proteomics, conformation-specific algorithms and biotechnological applications. Comput Struct Biotechnol J 2020;18:1403-13. [PMID: 32637039 DOI: 10.1016/j.csbj.2020.05.026] [Cited by in Crossref: 27] [Cited by in F6Publishing: 28] [Article Influence: 13.5] [Reference Citation Analysis]
6 Santos J, Iglesias V, Ventura S. Computational prediction and redesign of aberrant protein oligomerization. Oligomerization in Health and Disease: From Enzymes to G Protein-Coupled Receptors. Elsevier; 2020. pp. 43-83. [DOI: 10.1016/bs.pmbts.2019.11.002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
7 Katuwawala A, Peng Z, Yang J, Kurgan L. Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions. Comput Struct Biotechnol J 2019;17:454-62. [PMID: 31007871 DOI: 10.1016/j.csbj.2019.03.013] [Cited by in Crossref: 25] [Cited by in F6Publishing: 30] [Article Influence: 8.3] [Reference Citation Analysis]