Skip to main contentNews & ViewsPublished: 30 July 2026Structural biologyGina El Nesr ORCID: orcid.org/0000-0003-4857-94641 Nature Computational Science (2026) Cite this articleSave articleView saved researchA new method designs RNA sequences by learning from alignments of structurally similar molecules, producing aptamers and ribozymes that are experimentally validated.This is a preview of subscription content, access via your institutionAccess options Access through your institutionAccess Nature and 54 other Nature Portfolio journalsGet Nature+, our best-value online-access subscription27,99 € / 30 dayscancel any timeLearn moreSubscribe to this journalReceive 12 digital issues and online access to articles118,99 € per yearonly 9,92 € per issueLearn moreRent or buy this articlePrices vary by article typefrom$1.95to$39.95Learn morePrices may be subject to local taxes which are calculated during checkoutFig. 1: Multiple sequence alignments (MSAs) align related sequences to the query sequence and reveal coevolutionary information.SubjectsComputational biology and bioinformaticsMachine learningStructural biologyReferencesWang, S. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-026-01029-2 (2026).Article Google Scholar Jumper, J. et al. Nature 596, 583–589 (2021).Article Google Scholar Yang, W. et al. Nature 652, 1139–1152 (2026).Article Google Scholar Liu, D., Shao, Y., Piccirilli, J. A. & Weizmann, Y. Sci. Adv. 7, eabf4459 (2021).Article Google Scholar Zhang, J., Fei, Y., Sun, L. & Zhang, Q. C. Nat. Methods 19, 1193–1207 (2022).Article Google Scholar Download referencesAuthor informationAuthors and AffiliationsStanford University, Stanford, CA, USAGina El NesrAuthorsGina El NesrView author publicationsSearch author on:PubMed Google ScholarCorresponding authorCorrespondence to Gina El Nesr.Ethics declarationsRights and permissionsReprints and permissionsAbout this article