{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T09:08:08Z","timestamp":1790068088236,"version":"4.0.1"},"reference-count":57,"publisher":"Oxford University Press (OUP)","issue":"18","license":[{"start":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T00:00:00Z","timestamp":1790035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004410","name":"European Molecular Biology Organization","doi-asserted-by":"publisher","award":["11403"],"award-info":[{"award-number":["11403"]}],"id":[{"id":"10.13039\/100004410","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003768","name":"University of Strasbourg","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003768","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012681","name":"CNRS","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012681","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001677","name":"Inserm","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001677","id-type":"DOI","asserted-by":"publisher"}]},{"name":"IdEx Unistra","award":["ANR-10-IDEX-0002"],"award-info":[{"award-number":["ANR-10-IDEX-0002"]}]},{"name":"SFRI-STRAT\u2019US","award":["ANR 20-SFRI-0012"],"award-info":[{"award-number":["ANR 20-SFRI-0012"]}]},{"name":"EUR IMCBio","award":["ANR-17-EURE-0023"],"award-info":[{"award-number":["ANR-17-EURE-0023"]}]},{"name":"French Investments of the France 2030 Program"},{"name":"Ministry of University and Research"},{"name":"Fondo Italiano per la Scienza","award":["FIS-2024-01745"],"award-info":[{"award-number":["FIS-2024-01745"]}]},{"DOI":"10.13039\/501100021856","name":"MUR","doi-asserted-by":"publisher","award":["FIS-2024-01745"],"award-info":[{"award-number":["FIS-2024-01745"]}],"id":[{"id":"10.13039\/501100021856","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>RNA function is tied to secondary structure, operating through dynamic and heterogeneous structural ensembles. While current analysis tools typically output single static structures or averaged contact maps, chemical probing methods like DMS capture nucleotide-resolution signals representing the full structural ensemble, which remain difficult to interpret structurally. To address this, we present MERGE-RNA, a framework that describes and outputs RNA as a structural ensemble. By modeling the physics of the experimental pipeline, MERGE-RNA learns a small set of transferable and interpretable parameters, enabling the integration of measurements across different molecules, probe concentrations, and replicates in a single optimization to improve robustness. Our model employs a maximum-entropy principle to predict thermodynamic populations, with the minimal adjustments necessary to align the ensemble with experimental data. We validate MERGE-RNA on diverse RNAs, showing that it achieves structural accuracy surpassing standard pseudo-free-energy methods and yields ensembles better recapitulating measured DMS reactivity. Applied to the\u00a0Vibrio vulnificus adenine riboswitch, MERGE-RNA recovers the NMR-resolved conformations and their ligand-induced rearrangement, with population shifts matching the NMR-derived $K_d$. In a designed RNA construct for which we report new DMS data, MERGE-RNA deconvolves mixed states to reveal transient intermediate populations involved in strand displacement, dynamics invisible to methods based on enumerating a small number of structures.<\/jats:p>","DOI":"10.1093\/nar\/gkag917","type":"journal-article","created":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T11:47:18Z","timestamp":1789213638000},"source":"Crossref","is-referenced-by-count":0,"title":["MERGE-RNA: a physics-based model to predict RNA secondary structure ensembles with chemical probing"],"prefix":"10.1093","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0594-8349","authenticated-orcid":false,"given":"Giuseppe","family":"Sacco","sequence":"first","affiliation":[{"name":"Scuola Internazionale Superiore di Studi Avanzati , via Bonomea 265, Trieste, 34136 ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1600-9113","authenticated-orcid":false,"given":"Jianhui","family":"Li","sequence":"additional","affiliation":[{"name":"Architecture et R\u00e9activit\u00e9 de l\u2019ARN, Universit\u00e9 de Strasbourg, CNRS, Institute of Molecular and Cellular Biology (IBMC) , 2 All\u00e9e Konrad Roentgen, 67000 Strasbourg ,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1580-0671","authenticated-orcid":false,"given":"Redmond P","family":"Smyth","sequence":"additional","affiliation":[{"name":"Architecture et R\u00e9activit\u00e9 de l\u2019ARN, Universit\u00e9 de Strasbourg, CNRS, Institute of Molecular and Cellular Biology (IBMC) , 2 All\u00e9e Konrad Roentgen, 67000 Strasbourg ,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6663-8336","authenticated-orcid":false,"given":"Guido","family":"Sanguinetti","sequence":"additional","affiliation":[{"name":"Scuola Internazionale Superiore di Studi Avanzati , via Bonomea 265, Trieste, 34136 ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9216-5782","authenticated-orcid":false,"given":"Giovanni","family":"Bussi","sequence":"additional","affiliation":[{"name":"Scuola Internazionale Superiore di Studi Avanzati , via Bonomea 265, Trieste, 34136 ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,9,22]]},"reference":[{"key":"2026092204585155200_B1","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1038\/418222a","article-title":"The chemical repertoire of natural ribozymes","volume":"418","author":"Doudna","year":"2002","journal-title":"Nature"},{"key":"2026092204585155200_B2","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1016\/S0092-8674(02)00619-0","article-title":"Ribosome structure and the mechanism of translation","volume":"108","author":"Ramakrishnan","year":"2002","journal-title":"Cell"},{"key":"2026092204585155200_B3","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1038\/nrg3722","article-title":"The rise of regulatory RNA","volume":"15","author":"Morris","year":"2014","journal-title":"Nat Rev Genet"},{"key":"2026092204585155200_B4","doi-asserted-by":"publisher","first-page":"1302","DOI":"10.1021\/ar200098t","article-title":"The molecular interactions that stabilize RNA tertiary structure: RNA motifs, patterns, and networks","volume":"44","author":"Butcher","year":"2011","journal-title":"Acc Chem Res"},{"key":"2026092204585155200_B5","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.chembiol.2023.12.010","article-title":"Causes, functions, and therapeutic possibilities of RNA secondary structure ensembles and alternative states","volume":"31","author":"Bose","year":"2024","journal-title":"Cell Chem Biol"},{"key":"2026092204585155200_B6","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1038\/s41586-023-06080-x","article-title":"RNA conformational propensities determine cellular activity","volume":"617","author":"Ken","year":"2023","journal-title":"Nature"},{"key":"2026092204585155200_B7","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1038\/s41592-024-02543-9","article-title":"RNA-puzzles round V: blind predictions of 23 RNA structures","volume":"22","author":"Bu","year":"2025","journal-title":"Nat Methods"},{"key":"2026092204585155200_B8","doi-asserted-by":"publisher","first-page":"6309","DOI":"10.1073\/pnas.77.11.6309","article-title":"Fast algorithm for predicting the secondary structure of single-stranded RNA","volume":"77","author":"Nussinov","year":"1980","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026092204585155200_B9","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1002\/bip.360290621","article-title":"The equilibrium partition function and base pair binding probabilities for RNA secondary structure","volume":"29","author":"McCaskill","year":"1990","journal-title":"Biopolymers"},{"key":"2026092204585155200_B10","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1038\/newbio246040a0","article-title":"Improved estimation of secondary structure in ribonucleic acids","volume":"246","author":"Tinoco","year":"1973","journal-title":"Nature New Biol"},{"key":"2026092204585155200_B11","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1006\/jmbi.1999.3001","article-title":"How RNA folds","volume":"293","author":"Tinoco","year":"1999","journal-title":"J Mol Biol"},{"key":"2026092204585155200_B12","first-page":"363","article-title":"Analysis of the structure of Tetrahymena nuclear RNAs in vivo: telomerase RNA, the self-splicing rRNA intron, and U2 snRNA","volume":"1","author":"Zaug","year":"1995","journal-title":"RNA"},{"key":"2026092204585155200_B13","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1038\/nchembio.1958","article-title":"Progress and challenges for chemical probing of RNA structure inside living cells","volume":"11","author":"Kubota","year":"2015","journal-title":"Nat Chem Biol"},{"key":"2026092204585155200_B14","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1073\/pnas.0806929106","article-title":"Accurate SHAPE-directed RNA structure determination","volume":"106","author":"Deigan","year":"2009","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026092204585155200_B15","doi-asserted-by":"publisher","first-page":"4261","DOI":"10.1093\/nar\/gks009","article-title":"RNA folding with soft constraints: reconciliation of probing data and thermodynamic secondary structure prediction","volume":"40","author":"Washietl","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B16","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1038\/s41592-023-01862-7","article-title":"Nano-DMS-MaP allows isoform-specific RNA structure determination","volume":"20","author":"Bohn","year":"2023","journal-title":"Nat Methods"},{"key":"2026092204585155200_B17","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1038\/nature12378","article-title":"Three-state mechanism couples ligand and temperature sensing in riboswitches","volume":"499","author":"Reining","year":"2013","journal-title":"Nature"},{"key":"2026092204585155200_B18","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1038\/s41592-021-01075-w","article-title":"Genome-scale deconvolution of RNA structure ensembles","volume":"18","author":"Morandi","year":"2021","journal-title":"Nat Methods"},{"key":"2026092204585155200_B19","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1016\/j.molcel.2022.02.009","article-title":"Discovery of a large-scale, cell-state-responsive allosteric switch in the 7SK RNA using DANCE-MaP","volume":"82","author":"Olson","year":"2022","journal-title":"Mol Cell"},{"key":"2026092204585155200_B20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1748-7188-6-26","article-title":"ViennaRNA Package 2.0","volume":"6","author":"Lorenz","year":"2011","journal-title":"Algorithms Mol Biol"},{"key":"2026092204585155200_B21","doi-asserted-by":"publisher","first-page":"e00596","DOI":"10.1016\/j.heliyon.2018.e00596","article-title":"An introduction to the maximum entropy approach and its application to inference problems in biology","volume":"4","author":"De\u00a0Martino","year":"2018","journal-title":"Heliyon"},{"key":"2026092204585155200_B22","doi-asserted-by":"publisher","first-page":"3672","DOI":"10.1021\/acs.jctc.3c00084","article-title":"Molecular dynamics simulations with grand-canonical reweighting suggest cooperativity effects in RNA structure probing experiments","volume":"19","author":"Calonaci","year":"2023","journal-title":"J Chem Theory Comput"},{"key":"2026092204585155200_B23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12864-024-10440-w","article-title":"Sequencing accuracy and systematic errors of nanopore direct RNA sequencing","volume":"25","author":"Liu-Wei","year":"2024","journal-title":"BMC Genomics"},{"key":"2026092204585155200_B24","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1261\/rna.079623.123","article-title":"Artifacts and biases of the reverse transcription reaction in RNA sequencing","volume":"29","author":"Verwilt","year":"2023","journal-title":"RNA"},{"key":"2026092204585155200_B25","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1137\/0916069","article-title":"A limited memory algorithm for bound constrained optimization","volume":"16","author":"Byrd","year":"1995","journal-title":"SIAM J Sci Comput"},{"key":"2026092204585155200_B26","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: fundamental algorithms for scientific computing in Python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat Methods"},{"key":"2026092204585155200_B27","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1261\/rna.063479.117","article-title":"An ultraprocessive, accurate reverse transcriptase encoded by a Metazoan Group II intron","volume":"24","author":"Zhao","year":"2018","journal-title":"RNA"},{"key":"2026092204585155200_B28","doi-asserted-by":"publisher","first-page":"3338","DOI":"10.1016\/j.jmb.2020.03.022","article-title":"Sequencing and structure probing of long RNAs using MarathonRT: a next-generation reverse transcriptase","volume":"432","author":"Guo","year":"2020","journal-title":"J Mol Biol"},{"key":"2026092204585155200_B29","doi-asserted-by":"publisher","first-page":"1835","DOI":"10.1038\/s41596-024-00959-3","article-title":"Isoform-specific RNA structure determination using Nano-DMS-MaP","volume":"19","author":"Gribling-Burrer","year":"2024","journal-title":"Nat Protoc"},{"key":"2026092204585155200_B30","doi-asserted-by":"publisher","first-page":"e97","DOI":"10.1093\/nar\/gky486","article-title":"RNA framework: an all-in-one toolkit for the analysis of RNA structures and post-transcriptional modifications","volume":"46","author":"Incarnato","year":"2018","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B31","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/nmeth.1923","article-title":"Fast gapped-read alignment with Bowtie 2","volume":"9","author":"Langmead","year":"2012","journal-title":"Nat Methods"},{"key":"2026092204585155200_B32","doi-asserted-by":"crossref","unstructured":"Danecek P, Bonfield JK, Liddle J \u00a0et al. \u00a0Twelve years of SAMtools and BCFtools. GigaScience. 2021;10:giab008. 10.1093\/gigascience\/giab008","DOI":"10.1093\/gigascience\/giab008"},{"key":"2026092204585155200_B33","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1038\/s41592-020-0878-9","article-title":"Accelerated cryo-EM-guided determination of three-dimensional RNA-only structures","volume":"17","author":"Kappel","year":"2020","journal-title":"Nat Methods"},{"key":"2026092204585155200_B34","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1261\/rna.067678.118","article-title":"Barnaba: software for analysis of nucleic acid structures and trajectories","volume":"25","author":"Bottaro","year":"2019","journal-title":"RNA"},{"key":"2026092204585155200_B35","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1038\/nature04074","article-title":"Crystal structure of the RNA component of bacterial ribonuclease P","volume":"437","author":"Torres-Larios","year":"2005","journal-title":"Nature"},{"key":"2026092204585155200_B36","doi-asserted-by":"publisher","first-page":"7287","DOI":"10.1073\/pnas.0401799101","article-title":"Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure","volume":"101","author":"Mathews","year":"2004","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026092204585155200_B37","doi-asserted-by":"publisher","first-page":"D280","DOI":"10.1093\/nar\/gkp892","article-title":"NNDB: the nearest neighbor parameter database for predicting stability of nucleic acid secondary structure","volume":"38","author":"Turner","year":"2010","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B38","doi-asserted-by":"publisher","first-page":"i19","DOI":"10.1093\/bioinformatics\/btm223","article-title":"Efficient parameter estimation for RNA secondary structure prediction","volume":"23","author":"Andronescu","year":"2007","journal-title":"Bioinformatics"},{"key":"2026092204585155200_B39","doi-asserted-by":"publisher","first-page":"12001","DOI":"10.1093\/nar\/gkac102","article-title":"Cotranscriptional RNA strand exchange underlies the gene regulation mechanism in a purine-sensing transcriptional riboswitch","volume":"50","author":"Cheng","year":"2022","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B40","doi-asserted-by":"publisher","first-page":"24574","DOI":"10.1073\/pnas.1905491116","article-title":"RNA base-pairing complexity in living cells visualized by correlated chemical probing","volume":"116","author":"Mustoe","year":"2019","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026092204585155200_B41","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.molcel.2009.11.033","article-title":"The cspA mRNA Is a thermosensor that modulates translation of the cold-shock protein CspA","volume":"37","author":"Giuliodori","year":"2010","journal-title":"Mol Cell"},{"key":"2026092204585155200_B42","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1016\/j.molcel.2018.02.035","article-title":"A stress response that monitors and regulates mRNA structure is central to cold shock adaptation","volume":"70","author":"Zhang","year":"2018","journal-title":"Mol Cell"},{"key":"2026092204585155200_B43","doi-asserted-by":"publisher","first-page":"e2416988122","DOI":"10.1073\/pnas.2416988122","article-title":"Controlling DNA\u2013RNA strand displacement kinetics with base distribution","volume":"122","author":"Ratajczyk","year":"2025","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026092204585155200_B44","doi-asserted-by":"publisher","first-page":"9109","DOI":"10.1093\/nar\/15.22.9109","article-title":"Probing the structure of RNAs in solution","volume":"15","author":"Ehresmann","year":"1987","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B45","doi-asserted-by":"publisher","first-page":"4223","DOI":"10.1021\/ja043822v","article-title":"RNA structure analysis at single nucleotide resolution by selective 2\u2032-hydroxyl acylation and primer extension (SHAPE)","volume":"127","author":"Merino","year":"2005","journal-title":"J Am Chem Soc"},{"key":"2026092204585155200_B46","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.sbi.2010.04.001","article-title":"Advances in RNA structure analysis by chemical probing","volume":"20","author":"Weeks","year":"2010","journal-title":"Curr Opin Struct Biol"},{"key":"2026092204585155200_B47","doi-asserted-by":"publisher","first-page":"e34","DOI":"10.1093\/nar\/gkaa1255","article-title":"A novel SHAPE reagent enables the analysis of RNA structure in living cells with unprecedented accuracy","volume":"49","author":"Marinus","year":"2021","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B48","doi-asserted-by":"publisher","first-page":"e64","DOI":"10.1093\/nar\/gkl291","article-title":"Hydroxyl radical footprinting in vivo: mapping macromolecular structures with synchrotron radiation","volume":"34","author":"Adilakshmi","year":"2006","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B49","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1261\/rna.079974.124","article-title":"A new reagent for in vivo structure probing of RNA G and U residues that improves RNA structure prediction alone and combined with DMS","volume":"30","author":"Douds","year":"2024","journal-title":"RNA"},{"key":"2026092204585155200_B50","doi-asserted-by":"publisher","first-page":"8276","DOI":"10.1093\/nar\/gkaa607","article-title":"IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles","volume":"48","author":"Saaidi","year":"2020","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B51","doi-asserted-by":"publisher","first-page":"243150","DOI":"10.1063\/1.4937786","article-title":"Bayesian ensemble refinement by replica simulations and reweighting","volume":"143","author":"Hummer","year":"2015","journal-title":"J Chem Phys"},{"key":"2026092204585155200_B52","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3390\/computation6010015","article-title":"Using the maximum entropy principle to combine simulations and solution experiments","volume":"6","author":"Cesari","year":"2018","journal-title":"Computation"},{"key":"2026092204585155200_B53","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1038\/s41586-020-2253-5","article-title":"Determination of RNA structural diversity and its role in HIV-1 RNA splicing","volume":"582","author":"Tomezsko","year":"2020","journal-title":"Nature"},{"key":"2026092204585155200_B54","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1093\/nar\/gkx1057","article-title":"Modeling RNA secondary structure folding ensembles using SHAPE mapping data","volume":"46","author":"Spasic","year":"2018","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B55","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1038\/s41467-018-02923-8","article-title":"Statistical modeling of RNA structure profiling experiments enables parsimonious reconstruction of structure landscapes","volume":"9","author":"Li","year":"2018","journal-title":"Nat Commun"},{"key":"2026092204585155200_B56","doi-asserted-by":"publisher","first-page":"gkaf290","DOI":"10.1093\/nar\/gkaf290","article-title":"Investigating the interplay between RNA structural dynamics and RNA chemical probing experiments","volume":"53","author":"Arnold","year":"2025","journal-title":"Nucleic Acids Res"},{"key":"2026092204585155200_B57","doi-asserted-by":"publisher","first-page":"gkag672","DOI":"10.1093\/nar\/gkag672","article-title":"Characterizing RNA 3D structural features from DMS reactivity","volume":"54","author":"Deenalattha","year":"2026","journal-title":"Nucleic Acids Res"}],"container-title":["Nucleic Acids Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/nar\/article-pdf\/54\/18\/gkag917\/71306882\/gkag917.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/nar\/article-pdf\/54\/18\/gkag917\/71306882\/gkag917.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T08:59:03Z","timestamp":1790067543000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/nar\/article\/doi\/10.1093\/nar\/gkag917\/8826912"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,22]]},"references-count":57,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2026,9,22]]}},"URL":"https:\/\/doi.org\/10.1093\/nar\/gkag917","relation":{},"ISSN":["0305-1048","1362-4962"],"issn-type":[{"value":"0305-1048","type":"print"},{"value":"1362-4962","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026,10,14]]},"published":{"date-parts":[[2026,9,22]]},"article-number":"gkag917"}}