{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Orenstein Y"],"funding":["National Institutes of Health","NIGMS NIH HHS","NIH HHS"],"pagination":["154"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5819699"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(1)"],"pubmed_abstract":["<h4>Background</h4>RNA-binding proteins (RBPs) play vital roles in many processes in the cell. Different RBPs bind RNA with different sequence and structure specificities. While sequence specificities for a large set of 205 RBPs have been reported through the RNAcompete compendium, structure specificities are known for only a small fraction. The main limitation lies in the design of the RNAcompete technology, which tests RBP binding against unstructured RNA probes, making it difficult to infer structural preferences from these data. We recently developed RCK, an algorithm to infer sequence and structural binding models from RNAcompete data. The set of binding models enables, for the first time, a large-scale assessment of RNA structure in the RBPome.<h4>Results</h4>We re-validate and uncov"],"journal":["BMC genomics"],"pubmed_title":["Finding RNA structure in the unstructured RBPome."],"pmcid":["PMC5819699"],"funding_grant_id":["R01 GM081871","R01GM081871"],"pubmed_authors":["Ohler U","Berger B","Orenstein Y"],"additional_accession":[]},"is_claimable":false,"name":"Finding RNA structure in the unstructured RBPome.","description":"<h4>Background</h4>RNA-binding proteins (RBPs) play vital roles in many processes in the cell. Different RBPs bind RNA with different sequence and structure specificities. While sequence specificities for a large set of 205 RBPs have been reported through the RNAcompete compendium, structure specificities are known for only a small fraction. The main limitation lies in the design of the RNAcompete technology, which tests RBP binding against unstructured RNA probes, making it difficult to infer structural preferences from these data. We recently developed RCK, an algorithm to infer sequence and structural binding models from RNAcompete data. The set of binding models enables, for the first time, a large-scale assessment of RNA structure in the RBPome.<h4>Results</h4>We re-validate and uncov","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Feb","modification":"2025-04-22T05:23:17.005Z","creation":"2019-03-26T23:03:47Z"},"accession":"S-EPMC5819699","cross_references":{"pubmed":["29463232"],"doi":["10.1186/s12864-018-4540-1"]}}