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With the development of high-throughput sequencing and experimental technologies, extensive ncRNA interactions have been accumulated. Therefore, we updated the NPInter database to a fifth version to document these interactions. ncRNA interaction entries were doubled from 1 100 618 to 2 596 695 by manual literature mining and high-throughput data processing. We integrated global RNA\u2013DNA interactions from iMARGI, ChAR-seq and GRID-seq, greatly expanding the number of RNA\u2013DNA interactions (from 888 915 to 8 329 382). In addition, we collected different types of RNA interaction between SARS-CoV-2 virus and its host from recently published studies. Long noncoding RNA (lncRNA) expression specificity in different cell types from tumor single cell RNA-seq\u00a0(scRNA-seq)\u00a0data were also integrated to provide a cell-type level view of interactions. A new module named RBP was built to display the interactions of RNA-binding proteins with annotations of localization, binding domains and functions. In conclusion, NPInter v5.0 (http:\/\/bigdata.ibp.ac.cn\/npinter5\/) provides informative and valuable ncRNA interactions for biological researchers.<\/jats:p>","DOI":"10.1093\/nar\/gkac1002","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T10:39:40Z","timestamp":1668422380000},"page":"D232-D239","source":"Crossref","is-referenced-by-count":71,"title":["NPInter v5.0: ncRNA interaction database in a new era"],"prefix":"10.1093","volume":"51","author":[{"given":"Yu","family":"Zheng","sequence":"first","affiliation":[{"name":"Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences , Beijing \u00a0100101,\u00a0 China"},{"name":"College of Life Sciences, University of Chinese Academy of Sciences , Beijing \u00a0100049,\u00a0 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