{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T09:19:17Z","timestamp":1784884757313,"version":"3.55.0"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"W1","license":[{"start":{"date-parts":[[2023,5,4]],"date-time":"2023-05-04T00:00:00Z","timestamp":1683158400000},"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":["ALTF 145-2021"],"award-info":[{"award-number":["ALTF 145-2021"]}],"id":[{"id":"10.13039\/100004410","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020","doi-asserted-by":"publisher","award":["801342"],"award-info":[{"award-number":["801342"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006253","name":"Agency for Business Competitiveness","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006253","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004052","name":"KAUST","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Computational docking is an instrumental method of the structural biology toolbox. Specifically, integrative modeling software, such as LightDock, arise as complementary and synergetic methods to experimental structural biology techniques. Ubiquitousness and accessibility are fundamental features to promote ease of use and to improve user experience. With this goal in mind, we have developed the LightDock Server, a web server for the integrative modeling of macromolecular interactions, along with several dedicated usage modes. The server builds upon the LightDock macromolecular docking framework, which has proved useful for modeling medium-to-high flexible complexes, antibody-antigen interactions, or membrane-associated protein assemblies. We believe that this free-to-use resource will be a valuable addition to the structural biology community and can be accessed online at: https:\/\/server.lightdock.org\/<\/jats:p>","DOI":"10.1093\/nar\/gkad327","type":"journal-article","created":{"date-parts":[[2023,5,4]],"date-time":"2023-05-04T12:24:37Z","timestamp":1683203077000},"page":"W298-W304","source":"Crossref","is-referenced-by-count":44,"title":["The LightDock Server: Artificial Intelligence-powered modeling of macromolecular interactions"],"prefix":"10.1093","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7786-2109","authenticated-orcid":false,"given":"Brian","family":"Jim\u00e9nez-Garc\u00eda","sequence":"first","affiliation":[{"name":"Zymvol Biomodeling , Pau Claris 94 3B , 08010 , Barcelona , Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge","family":"Roel-Touris","sequence":"additional","affiliation":[{"name":"Protein Design and Modeling Lab, Department of Structural Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC) , Baldiri Reixac 15 , 08028 Barcelona , Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Didier","family":"Barradas-Bautista","sequence":"additional","affiliation":[{"name":"Kaust Visualization Lab, Core lab Division, King Abdullah University of Science and Technology (KAUST) , 23955-6900 , Thuwal , Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,5,4]]},"reference":[{"key":"2023070504572180100_B1","doi-asserted-by":"crossref","first-page":"D488","DOI":"10.1093\/nar\/gkac1077","article-title":"RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence\/machine learning","volume":"51","author":"Burley","year":"2022","journal-title":"Nucleic Acids Res."},{"key":"2023070504572180100_B2","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/s41586-021-03819-2","article-title":"Highly accurate protein structure prediction with AlphaFold","volume":"596","author":"Jumper","year":"2021","journal-title":"Nature"},{"key":"2023070504572180100_B3","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1126\/science.abj8754","article-title":"Accurate prediction of protein structures and interactions using a three-track neural network","volume":"373","author":"Baek","year":"2021","journal-title":"Science"},{"key":"2023070504572180100_B4","article-title":"Protein complex prediction with AlphaFold-Multimer","author":"Evans","year":"2022"},{"key":"2023070504572180100_B5","doi-asserted-by":"crossref","first-page":"102543","DOI":"10.1016\/j.sbi.2023.102543","article-title":"The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors","volume":"79","author":"Varadi","year":"2023","journal-title":"Curr. 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