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We find that the L\u00e9vy mutation scheme increases the diversity of designed RNA sequences and reduces the average number of evaluations of the evolutionary algorithm. Compared to ,  CPU time is higher but more successful in finding designed sequences that fold correctly into the target structures.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>We propose that a L\u00e9vy flight offers a better standard mutation scheme for optimizing RNA design. Our new version of  is available on GitHub as a python script and the benchmark results show improved performance on both  and the  datasets, compared to existing inverse folding tools.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12859-022-04866-w","type":"journal-article","created":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T10:02:42Z","timestamp":1660384962000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["aRNAque: an evolutionary algorithm for inverse pseudoknotted RNA folding inspired by L\u00e9vy flights"],"prefix":"10.1186","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3150-6250","authenticated-orcid":false,"given":"Nono S. 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