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Image Search Results
Journal: Cell reports
Article Title: Nuclear Import Receptors Directly Bind to Arginine-Rich Dipeptide Repeat Proteins and Suppress Their Pathological Interactions
doi: 10.1016/j.celrep.2020.108538
Figure Lengend Snippet:
Article Snippet:
Techniques: Recombinant, Protease Inhibitor, Staining, Virus, Plasmid Preparation, Software
Journal: Briefings in Bioinformatics
Article Title: Protein–RNA interaction prediction with deep learning: structure matters
doi: 10.1093/bib/bbab540
Figure Lengend Snippet: Summary and comparison of the existing reviews on the studies of protein–RNA interaction. Sorted by the published year, the reviews are divided into different categories based on their main focuses: CLIP, RNA-binding sites, 3D structural information, DNA-binding specificity, RNA–protein interaction data and RNA-binding preferences
Article Snippet: [ ] , 2013 ,
Techniques: Comparison, Gene Expression, Functional Assay, In Vitro, Software, Binding Assay
Journal: Briefings in Bioinformatics
Article Title: Protein–RNA interaction prediction with deep learning: structure matters
doi: 10.1093/bib/bbab540
Figure Lengend Snippet: The different paradigms of studying the interactions between proteins and RNAs. A . Binding site prediction. Given the protein information, people predict which locations on the protein surface are the binding sites for RNAs. B . Binding preference prediction. For a given protein, the researchers have already determined the RNA sequences that can bind to the protein by experiments. Here, the models learn the statistical information from the input RNA sequences as the binding preference of that specific protein against RNAs. C . For studying the interaction more comprehensively, it is more desirable to consider the protein and RNA information, including both the sequence and structural information, simultaneously and predict both binding sites and binding preference.
Article Snippet: [ ] , 2013 ,
Techniques: Binding Assay, Sequencing
Journal: Briefings in Bioinformatics
Article Title: Protein–RNA interaction prediction with deep learning: structure matters
doi: 10.1093/bib/bbab540
Figure Lengend Snippet: Accessible datasets for studying the interaction between proteins and RNAs
Article Snippet: [ ] , 2013 ,
Techniques: Sequencing, Binding Assay