{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T21:12:50Z","timestamp":1783717970283,"version":"3.55.0"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T00:00:00Z","timestamp":1783641600000},"content-version":"vor","delay-in-days":9,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Korean Retina Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The exponential growth of biomedical literature creates a cognitive bottleneck in drug target discovery, particularly for identifying therapeutically relevant mechanisms beyond established pathways. In ocular neovascularization, anti-VEGF therapies are standard of care, yet non-response and resistance remain critical unmet needs. We present an integrated computational framework combining Graph Retrieval-Augmented Generation (GraphRAG)-based literature mining, pathway co-localization analysis, and deep learning-based druggability assessment for systematic target prioritization. Using 5562 angiogenesis-related PubMed abstracts, we constructed a vascular knowledge graph (17\u2009842 nodes; 9555 edges) and applied pathway co-localization with vascular endothelial growth factor A (VEGF-A) as a biological filter. As a validation step, the workflow recovered four targets\u2014fibroblast growth factor 2, transforming growth factor-beta 1, interleukin-1 beta, and matrix metalloproteinase-9\u2014already supported by clinical or advanced preclinical development, demonstrating concordance with expert-driven selection. Iterative querying subsequently identified two additional mechanistically supported candidates, fibroblast growth factor 1 and hepatocyte growth factor, sharing receptor tyrosine kinase-centered pathways with VEGF-A but lacking clinical evaluation in ocular neovascularization. Deep learning-based structural analysis (DeepSite and PocketMiner) identified high-confidence ligandable pockets for all six candidates. This work demonstrates how GraphRAG can systematically mine existing literature to recover known targets and surface literature-supported candidates that may be underprioritized for translational development. Rather than claiming de novo discovery, we emphasize the framework\u2019s utility as a scalable, transparent, and reproducible methodology for overcoming citation bias and literature overload. The workflow is generalizable to other complex, literature-rich disease domains.<\/jats:p>","DOI":"10.1093\/bib\/bbag343","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T20:15:17Z","timestamp":1783714517000},"source":"Crossref","is-referenced-by-count":0,"title":["A graph retrieval-augmented generation pipeline for systematic drug target discovery: validation and application to ocular neovascularization"],"prefix":"10.1093","volume":"27","author":[{"given":"Yongseok","family":"Mun","sequence":"first","affiliation":[{"name":"Department of Ophthalmology, Hallym University College of Medicine, Hallym University Kangnam Sacred Heart Hospital , 665-3, Siheung-daero, Yeongdeungpo-gu, Seoul 07442 ,","place":["Republic of Korea"]},{"name":"Hallym BioEyeTech Research Center, Hallym University College of Medicine , 665-3, Siheung-daero, Yeongdeungpo-gu, Seoul 07442 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dae Joong","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Hallym University College of Medicine, Hallym University Kangnam Sacred Heart Hospital , 665-3, Siheung-daero, Yeongdeungpo-gu, Seoul 07442 ,","place":["Republic of Korea"]},{"name":"Hallym BioEyeTech Research Center, Hallym University College of Medicine , 665-3, Siheung-daero, Yeongdeungpo-gu, Seoul 07442 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ha Kyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Hallym University College of Medicine, Hallym University Kangnam Sacred Heart Hospital , 665-3, Siheung-daero, Yeongdeungpo-gu, Seoul 07442 ,","place":["Republic of Korea"]},{"name":"Hallym BioEyeTech Research Center, Hallym University College of Medicine , 665-3, Siheung-daero, Yeongdeungpo-gu, Seoul 07442 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwangsic","family":"Joo","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital , 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang Jun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital , 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3692-7169","authenticated-orcid":false,"given":"Se Joon","family":"Woo","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital , 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5516-8121","authenticated-orcid":false,"given":"Kyu Hyung","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Hospital , 101, Daehak-ro, Jongno-gu, Seoul 03080 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,7,10]]},"reference":[{"key":"2026071016150980600_ref1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1177\/15230864251405885","article-title":"Artificial intelligence tools in biomedical research: part 1-literature search and knowledge mining","volume":"44","author":"Sen","year":"2025","journal-title":"Antioxid Redox Signal"},{"key":"2026071016150980600_ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac465","article-title":"e-TSN: an interactive visual exploration platform for target-disease knowledge mapping from literature","volume":"23","author":"Feng","year":"2022","journal-title":"Brief Bioinform"},{"key":"2026071016150980600_ref3","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1093\/gigascience\/giaf109","article-title":"A retrieval-augmented knowledge mining method with deep thinking LLMs for biomedical research and clinical support","volume":"14","author":"Feng","year":"2025","journal-title":"Gigascience"},{"key":"2026071016150980600_ref4","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1056\/NEJMoa054481","article-title":"Ranibizumab for neovascular age-related macular degeneration","volume":"355","author":"Rosenfeld","year":"2006","journal-title":"N Engl J Med"},{"key":"2026071016150980600_ref5","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1016\/j.ophtha.2010.02.031","article-title":"Randomized trial evaluating ranibizumab plus prompt or deferred laser or triamcinolone plus prompt laser for diabetic macular edema","volume":"117","author":"Elman","year":"2010","journal-title":"Ophthalmology"},{"key":"2026071016150980600_ref6","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.1016\/j.ophtha.2010.02.021","article-title":"Ranibizumab for macular edema following branch retinal vein occlusion: six-month primary end point results of a phase III study","volume":"117","author":"Campochiaro","year":"2010","journal-title":"Ophthalmology"},{"key":"2026071016150980600_ref7","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.1016\/S0140-6736(19)31344-3","article-title":"Ranibizumab versus laser therapy for the treatment of very low birthweight infants with retinopathy of prematurity (RAINBOW): an open-label randomised controlled trial","volume":"394","author":"Stahl","year":"2019","journal-title":"Lancet"},{"key":"2026071016150980600_ref8","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.preteyeres.2015.06.002","article-title":"Molecular pathogenesis of retinal and choroidal vascular diseases","volume":"49","author":"Campochiaro","year":"2015","journal-title":"Prog Retin Eye Res"},{"key":"2026071016150980600_ref9","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1586\/eop.13.17","article-title":"Targeting neovascularization in ischemic retinopathy: recent advances","volume":"8","author":"Al-Shabrawey","year":"2013","journal-title":"Expert Rev Ophthalmol"},{"key":"2026071016150980600_ref10","doi-asserted-by":"publisher","first-page":"25","DOI":"10.3390\/ijms25084433","article-title":"Exploring current molecular targets in the treatment of Neovascular age-related macular degeneration toward the perspective of long-term agents","volume":"25","author":"Fragiotta","year":"2024","journal-title":"Int J Mol Sci"},{"key":"2026071016150980600_ref11","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.4239\/wjd.v12.i9.1442","article-title":"Cellular targets in diabetic retinopathy therapy","volume":"12","author":"Rodr\u00edguez","year":"2021","journal-title":"World J Diabetes"},{"key":"2026071016150980600_ref12","doi-asserted-by":"publisher","first-page":"124258","DOI":"10.1016\/j.ijpharm.2024.124258","article-title":"Anti-angiogenic biomolecules in neovascular age-related macular degeneration; therapeutics and drug delivery systems","volume":"659","author":"Kazemi","year":"2024","journal-title":"Int J Pharm"},{"key":"2026071016150980600_ref13","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1124\/jpet.122.001563","article-title":"Beyond VEGF: targeting inflammation and other pathways for treatment of retinal disease","volume":"386","author":"Muniyandi","year":"2023","journal-title":"J Pharmacol Exp Ther"},{"key":"2026071016150980600_ref14","doi-asserted-by":"publisher","first-page":"D672","DOI":"10.1093\/nar\/gkad1025","article-title":"The Reactome pathway knowledgebase 2024","volume":"52","author":"Milacic","year":"2024","journal-title":"Nucleic Acids Res"},{"key":"2026071016150980600_ref15","doi-asserted-by":"publisher","first-page":"3036","DOI":"10.1093\/bioinformatics\/btx350","article-title":"DeepSite: protein-binding site predictor using 3D-convolutional neural networks","volume":"33","author":"Jim\u00e9nez","year":"2017","journal-title":"Bioinformatics"},{"key":"2026071016150980600_ref16","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1038\/s41467-023-36699-3","article-title":"Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network","volume":"14","author":"Meller","year":"2023","journal-title":"Nat Commun"},{"key":"2026071016150980600_ref17","doi-asserted-by":"publisher","first-page":"1422","DOI":"10.1093\/bioinformatics\/btp163","article-title":"Biopython: freely available python tools for computational molecular biology and bioinformatics","volume":"25","author":"Cock","year":"2009","journal-title":"Bioinformatics"},{"key":"2026071016150980600_ref18","volume-title":"Graph Retrieval Augmented Generation","author":"Microsoft Corporation"},{"key":"2026071016150980600_ref19","author":"Ollama"},{"key":"2026071016150980600_ref20","volume-title":"GraphRAG Visualizer","author":"Liao"},{"key":"2026071016150980600_ref21","volume-title":"Protein Data Bank in Europe Knowledge Base","author":"European Molecular Biology Laboratory"},{"key":"2026071016150980600_ref22","volume-title":"UCSF Chimera","author":"Regents of the University of California"},{"key":"2026071016150980600_ref23","doi-asserted-by":"publisher","first-page":"535","DOI":"10.3892\/ijo.2012.1728","article-title":"HGF regulates VEGF expression via the c-met receptor downstream pathways, PI3K\/Akt, MAPK and STAT3, in CT26 murine cells","volume":"42","author":"Matsumura","year":"2013","journal-title":"Int J Oncol"},{"key":"2026071016150980600_ref24","doi-asserted-by":"publisher","first-page":"110390","DOI":"10.1016\/j.exer.2025.110390","article-title":"Topical application of cap-loaded hydrogels inhibits corneal neovascularization","volume":"255","author":"Xue","year":"2025","journal-title":"Exp Eye Res"},{"key":"2026071016150980600_ref25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/5905269","article-title":"Cabozantinib, a multityrosine kinase inhibitor of MET and VEGF receptors which suppresses mouse laser-induced choroidal neovascularization","volume":"2020","author":"Zhang","year":"2020","journal-title":"J Ophthalmol"},{"key":"2026071016150980600_ref26","first-page":"3677","article-title":"Final results of the phase 2 BETTER trial using intravitreal ISTH0036, a selective TGF-\u03b22 blocking antisense in nAMD and DME","volume":"66","author":"Munk","year":"2025","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"2026071016150980600_ref27","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1038\/nrd2792","article-title":"The FGF family: biology, pathophysiology and therapy","volume":"8","author":"Beenken","year":"2009","journal-title":"Nat Rev Drug Discov"},{"key":"2026071016150980600_ref28","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1038\/s41433-023-02849-6","article-title":"Safety and tolerability of intravitreal umedaptanib pegol (anti-FGF2) for neovascular age-related macular degeneration (nAMD): a phase 1, open-label study","volume":"38","author":"Pereira","year":"2024","journal-title":"Eye (Lond)"},{"key":"2026071016150980600_ref29","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1136\/bjo-2024-326006","article-title":"Simultaneous inhibition of fibroblast growth factor-2 and vascular endothelial growth factor-a with RC28-E in diabetic macular edema: a phase 2 randomised trial","volume":"109","author":"Zhang","year":"2025","journal-title":"Br J Ophthalmol"},{"key":"2026071016150980600_ref30","doi-asserted-by":"publisher","first-page":"1140","DOI":"10.1038\/s41433-023-02848-7","article-title":"Clinical proof of concept for anti-FGF2 therapy in exudative age-related macular degeneration (nAMD): phase 2 trials in treatment-na\u00efve and anti-VEGF pretreated patients","volume":"38","author":"Pereira","year":"2024","journal-title":"Eye (Lond)"},{"key":"2026071016150980600_ref31","doi-asserted-by":"publisher","first-page":"36890","DOI":"10.1038\/s41598-025-20917-7","article-title":"Erdafitinib suppresses pathological retinal angiogenesis via dual targeting of FGFR and VEGFR2 signaling","volume":"15","author":"Mo","year":"2025","journal-title":"Sci Rep"},{"key":"2026071016150980600_ref32","doi-asserted-by":"publisher","first-page":"9672","DOI":"10.1038\/s41598-017-10124-4","article-title":"TGF-\u03b2 participates choroid neovascularization through Smad2\/3-VEGF\/TNF-\u03b1 signaling in mice with laser-induced wet age-related macular degeneration","volume":"7","author":"Wang","year":"2017","journal-title":"Sci Rep"},{"key":"2026071016150980600_ref33","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1038\/s12276-022-00778-0","article-title":"TGF-\u03b2 promotes pericyte-myofibroblast transition in subretinal fibrosis through the Smad2\/3 and Akt\/mTOR pathways","volume":"54","author":"Zhao","year":"2022","journal-title":"Exp Mol Med"},{"key":"2026071016150980600_ref34","doi-asserted-by":"publisher","first-page":"110309","DOI":"10.1016\/j.celrep.2022.110309","article-title":"Macrophage IL-1\u03b2 promotes arteriogenesis by autocrine STAT3- and NF-\u03baB-mediated transcription of pro-angiogenic VEGF-A","volume":"38","author":"Mantsounga","year":"2022","journal-title":"Cell Rep"},{"key":"2026071016150980600_ref35","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1097\/IAE.0000000000000701","article-title":"Systemic interleukin 1\u03b2 inhibition in proliferative diabetic retinopathy: a prospective open-label study using canakinumab","volume":"36","author":"Stahel","year":"2016","journal-title":"Retina"},{"key":"2026071016150980600_ref36","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.1016\/S0002-9440(10)64401-X","article-title":"Matrix metalloproteinase-9 contributes to choroidal neovascularization","volume":"161","author":"Lambert","year":"2002","journal-title":"Am J Pathol"},{"key":"2026071016150980600_ref37","doi-asserted-by":"publisher","first-page":"2290","DOI":"10.1096\/fj.03-0113fje","article-title":"MMP-2 and MMP-9 synergize in promoting choroidal neovascularization","volume":"17","author":"Lambert","year":"2003","journal-title":"FASEB J"},{"key":"2026071016150980600_ref38","doi-asserted-by":"publisher","first-page":"276","DOI":"10.3389\/fphar.2020.00276","article-title":"MicroRNA-18a-5p administration suppresses retinal neovascularization by targeting FGF1 and HIF1A","volume":"11","author":"Guan","year":"2020","journal-title":"Front Pharmacol"},{"key":"2026071016150980600_ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btae598","article-title":"TarKG: a comprehensive biomedical knowledge graph for target discovery","volume":"40","author":"Zhou","year":"2024","journal-title":"Bioinformatics"},{"key":"2026071016150980600_ref40","doi-asserted-by":"publisher","first-page":"e1011945","DOI":"10.1371\/journal.pcbi.1011945","article-title":"A probabilistic knowledge graph for target identification","volume":"20","author":"Liu","year":"2024","journal-title":"PLoS Comput Biol"},{"key":"2026071016150980600_ref41","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1186\/s12859-018-2167-5","article-title":"SemaTyP: a knowledge graph based literature mining method for drug discovery","volume":"19","author":"Sang","year":"2018","journal-title":"BMC Bioinformatics"},{"key":"2026071016150980600_ref42","doi-asserted-by":"publisher","first-page":"121360","DOI":"10.1016\/j.ins.2024.121360","article-title":"Regulation-aware graph learning for drug repositioning over heterogeneous biological network","volume":"686","author":"Zhao","year":"2025","journal-title":"Inf Sci"},{"key":"2026071016150980600_ref43","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btad451","article-title":"iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network","volume":"39","author":"Zhao","year":"2023","journal-title":"Bioinformatics"},{"key":"2026071016150980600_ref44","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1109\/JBHI.2022.3219213","article-title":"Predicting drug-target interactions over heterogeneous information network","volume":"27","author":"Su","year":"2023","journal-title":"IEEE J Biomed Health Inform"},{"key":"2026071016150980600_ref45","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1109\/TETC.2023.3239949","article-title":"Fusing higher and lower-order biological information for drug repositioning via graph representation learning","volume":"12","author":"Zhao","year":"2024","journal-title":"IEEE Trans Emerg Top Comput"},{"key":"2026071016150980600_ref46","doi-asserted-by":"publisher","first-page":"970224","DOI":"10.3389\/fgene.2022.970224","article-title":"Potential epigenetic molecular regulatory networks in ocular neovascularization","volume":"13","author":"Hu","year":"2022","journal-title":"Front Genet"},{"key":"2026071016150980600_ref47","doi-asserted-by":"publisher","first-page":"e1006705","DOI":"10.1371\/journal.pcbi.1006705","article-title":"Inherent versus induced protein flexibility: comparisons within and between apo and holo structures","volume":"15","author":"Clark","year":"2019","journal-title":"PLoS Comput Biol"},{"key":"2026071016150980600_ref48","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1016\/j.jmb.2016.01.029","article-title":"CryptoSite: expanding the druggable proteome by characterization and prediction of cryptic binding sites","volume":"428","author":"Cimermancic","year":"2016","journal-title":"J Mol Biol"},{"key":"2026071016150980600_ref49","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1186\/1471-2105-10-168","article-title":"Fpocket: an open source platform for ligand pocket detection","volume":"10","author":"Le Guilloux","year":"2009","journal-title":"BMC Bioinformatics"},{"key":"2026071016150980600_ref50","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btad080","article-title":"The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information","volume":"39","author":"Morris","year":"2023","journal-title":"Bioinformatics"},{"key":"2026071016150980600_ref51","doi-asserted-by":"publisher","first-page":"7761","DOI":"10.1038\/s41467-024-52061-7","article-title":"An artificial intelligence accelerated virtual screening platform for drug discovery","volume":"15","author":"Zhou","year":"2024","journal-title":"Nat Commun"},{"key":"2026071016150980600_ref52","doi-asserted-by":"publisher","first-page":"7400","DOI":"10.1038\/s41467-024-51776-x","article-title":"An end-to-end framework for the prediction of protein structure and fitness from single sequence","volume":"15","author":"Chen","year":"2024","journal-title":"Nat Commun"},{"key":"2026071016150980600_ref53","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1109\/JBHI.2025.3585290","article-title":"LLM-DDI: leveraging large language models for drug-drug interaction prediction on biomedical knowledge graph","volume":"30","author":"Li","year":"2026","journal-title":"IEEE J Biomed Health Inform"},{"key":"2026071016150980600_ref54","doi-asserted-by":"publisher","first-page":"2276","DOI":"10.1109\/JBHI.2025.3600045","article-title":"Multi-view contrastive learning for drug-drug interaction event prediction","volume":"30","author":"Li","year":"2026","journal-title":"IEEE J Biomed Health Inform"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/27\/4\/bbag343\/68756661\/bbag343.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/27\/4\/bbag343\/68756661\/bbag343.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T20:15:19Z","timestamp":1783714519000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbag343\/8732202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":54,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,7,3]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbag343","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026,7]]},"published":{"date-parts":[[2026,7]]},"article-number":"bbag343"}}