{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T09:21:04Z","timestamp":1772270464550,"version":"3.50.1"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T00:00:00Z","timestamp":1708560000000},"content-version":"vor","delay-in-days":31,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31670725"],"award-info":[{"award-number":["31670725"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013790","name":"Beijing Advanced Innovation Center for Structural Biology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013790","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Outstanding Innovative Talents Cultivation Funded Programs 2022 of Renmin University of China"},{"name":"Public Computing Cloud"},{"DOI":"10.13039\/501100004260","name":"Renmin University of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004260","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Accurate prediction of antibody\u2013antigen complex structures is pivotal in drug discovery, vaccine design and disease treatment and can facilitate the development of more effective therapies and diagnostics. In this work, we first review the antibody\u2013antigen docking (ABAG-docking) datasets. Then, we present the creation and characterization of a comprehensive benchmark dataset of antibody\u2013antigen complexes. We categorize the dataset based on docking difficulty, interface properties and structural characteristics, to provide a diverse set of cases for rigorous evaluation. Compared with Docking Benchmark 5.5, we have added 112 cases, including 14 single-domain antibody (sdAb) cases and 98 monoclonal antibody (mAb) cases, and also increased the proportion of Difficult cases. Our dataset contains diverse cases, including human\/humanized antibodies, sdAbs, rodent antibodies and other types, opening the door to better algorithm development. Furthermore, we provide details on the process of building the benchmark dataset and introduce a pipeline for periodic updates to keep it up to date. We also utilize multiple complex prediction methods including ZDOCK, ClusPro, HDOCK and AlphaFold-Multimer for testing and analyzing this dataset. This benchmark serves as a valuable resource for evaluating and advancing docking computational methods in the analysis of antibody\u2013antigen interaction, enabling researchers to develop more accurate and effective tools for predicting and designing antibody\u2013antigen complexes. The non-redundant ABAG-docking structure benchmark dataset is available at https:\/\/github.com\/Zhaonan99\/Antibody-antigen-complex-structure-benchmark-dataset.<\/jats:p>","DOI":"10.1093\/bib\/bbae048","type":"journal-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T19:12:29Z","timestamp":1708629149000},"source":"Crossref","is-referenced-by-count":14,"title":["ABAG-docking benchmark: a non-redundant structure benchmark dataset for antibody\u2013antigen computational docking"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3755-8235","authenticated-orcid":false,"given":"Nan","family":"Zhao","sequence":"first","affiliation":[{"name":"Institute for Mathematical Sciences, School of Mathematics, Renmin University of China , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bingqing","family":"Han","sequence":"additional","affiliation":[{"name":"Institute for Mathematical Sciences, School of Mathematics, Renmin University of China , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cuicui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute for Mathematical Sciences, School of Mathematics, Renmin University of China , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinbo","family":"Xu","sequence":"additional","affiliation":[{"name":"MoleculeMind Ltd. , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2802-6176","authenticated-orcid":false,"given":"Xinqi","family":"Gong","sequence":"additional","affiliation":[{"name":"Institute for Mathematical Sciences, School of Mathematics, Renmin University of China , Beijing , China"},{"name":"Beijing Academy of Artificial Intelligence , Beijing , 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