{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T16:10:02Z","timestamp":1789747802180,"version":"4.0.1"},"reference-count":65,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T00:00:00Z","timestamp":1789344000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"French National Research Agency","doi-asserted-by":"publisher","award":["ANR-22-CE45-0025"],"award-info":[{"award-number":["ANR-22-CE45-0025"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003032","name":"Association Nationale de la Recherche et de la Technologie","doi-asserted-by":"publisher","award":["2016\/0239"],"award-info":[{"award-number":["2016\/0239"]}],"id":[{"id":"10.13039\/501100003032","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Structural Biology"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.jsb.2026.108368","type":"journal-article","created":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T15:16:34Z","timestamp":1789226194000},"page":"108368","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Antibody CDR-H3 loop flexibility: Insights from X-ray crystallography, structural bioinformatics, and the limits of current deep learning methods"],"prefix":"10.1016","volume":"218","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5580-2842","authenticated-orcid":false,"given":"Am\u00e9lie","family":"Barozet","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4960-0632","authenticated-orcid":false,"given":"Magali","family":"Mathieu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5276-5027","authenticated-orcid":false,"given":"David","family":"Papin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B\u00e9atrice","family":"Cameron","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarik","family":"Dabdoubi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne","family":"S\u00e9verac","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Ferrari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thierry","family":"Sim\u00e9on","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Bianciotto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4660-0306","authenticated-orcid":false,"given":"Juan","family":"Cort\u00e9s","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.jsb.2026.108368_b1","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1038\/s42003-023-04927-7","article-title":"ImmuneBuilder: Deep-learning models for predicting the structures of immune proteins","volume":"6","author":"Abanades","year":"2023","journal-title":"Commun. Biol."},{"issue":"8016","key":"10.1016\/j.jsb.2026.108368_b2","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1038\/s41586-024-07487-w","article-title":"Accurate structure prediction of biomolecular interactions with AlphaFold 3","volume":"630","author":"Abramson","year":"2024","journal-title":"Nature"},{"key":"10.1016\/j.jsb.2026.108368_b3","doi-asserted-by":"crossref","first-page":"3031","DOI":"10.1021\/acs.jctc.7b00125","article-title":"The Rosetta all-atom energy function for macromolecular modeling and design","volume":"13","author":"Alford","year":"2017","journal-title":"J. Chem. Theory Comput."},{"issue":"4","key":"10.1016\/j.jsb.2026.108368_b4","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1002\/prot.22293","article-title":"Multi-constraint computational design suggests that native sequences of germline antibody H3 loops are nearly optimal for conformational flexibility","volume":"75","author":"Babor","year":"2009","journal-title":"Proteins"},{"key":"10.1016\/j.jsb.2026.108368_b5","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.imlet.2018.06.002","article-title":"Conformational changes in antibody Fab fragments upon binding and their consequences on the performance of docking algorithms","volume":"200","author":"Barozet","year":"2018","journal-title":"Immunol. Lett."},{"issue":"2","key":"10.1016\/j.jsb.2026.108368_b6","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1002\/prot.26008","article-title":"Protein loops with multiple meta-stable conformations: A challenge for sampling and scoring methods","volume":"89","author":"Barozet","year":"2021","journal-title":"Proteins"},{"issue":"4","key":"10.1016\/j.jsb.2026.108368_b7","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1093\/bioinformatics\/btz684","article-title":"A reinforcement-learning-based approach to enhance exhaustive protein loop sampling","volume":"36","author":"Barozet","year":"2020","journal-title":"Bioinformatics"},{"issue":"2","key":"10.1016\/j.jsb.2026.108368_b8","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1093\/bioinformatics\/btab584","article-title":"MoMA-LoopSampler: a web server to exhaustively sample protein loop conformations","volume":"38","author":"Barozet","year":"2021","journal-title":"Bioinformatics"},{"issue":"5","key":"10.1016\/j.jsb.2026.108368_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbc.2022.101901","article-title":"Antigen binding by conformational selection in near-germline antibodies","volume":"298","author":"Blackler","year":"2022","journal-title":"J. Biol. Chem."},{"key":"10.1016\/j.jsb.2026.108368_b10","series-title":"BUSTER, Cambridge, United Kingdom: Global Phasing Ltd.","author":"Bricogne","year":"2017"},{"issue":"36","key":"10.1016\/j.jsb.2026.108368_b11","doi-asserted-by":"crossref","first-page":"22341","DOI":"10.1073\/pnas.2005102117","article-title":"Conformational diversity facilitates antibody mutation trajectories and discrimination between foreign and self-antigens","volume":"117","author":"Burnett","year":"2020","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"15","key":"10.1016\/j.jsb.2026.108368_b12","doi-asserted-by":"crossref","first-page":"2789","DOI":"10.1016\/j.cell.2022.05.029","article-title":"Designing antibodies as therapeutics","volume":"185","author":"Carter","year":"2022","journal-title":"Cell"},{"key":"10.1016\/j.jsb.2026.108368_b13","series-title":"AMBER 2016, University of California, San Francisco","author":"Case","year":"2016"},{"issue":"16","key":"10.1016\/j.jsb.2026.108368_b14","doi-asserted-by":"crossref","first-page":"1668","DOI":"10.1002\/jcc.20290","article-title":"The Amber biomolecular simulation programs","volume":"26","author":"Case","year":"2005","journal-title":"J. Comput. Chem."},{"key":"10.1016\/j.jsb.2026.108368_b15","article-title":"Chai-1: Decoding the molecular interactions of life","author":"Chai Discovery team","year":"2024","journal-title":"BioRxiv"},{"issue":"24","key":"10.1016\/j.jsb.2026.108368_b16","doi-asserted-by":"crossref","first-page":"3158","DOI":"10.1093\/bioinformatics\/btt560","article-title":"Optimized atomic statistical potentials: assessment of protein interfaces and loops","volume":"29","author":"Dong","year":"2013","journal-title":"Bioinformatics"},{"issue":"10","key":"10.1016\/j.jsb.2026.108368_b17","doi-asserted-by":"crossref","first-page":"7112","DOI":"10.1109\/TPAMI.2021.3095381","article-title":"ProtTrans: Toward understanding the language of life through self-supervised learning","volume":"44","author":"Elnaggar","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"10.1016\/j.jsb.2026.108368_b18","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1080\/19420862.2019.1618676","article-title":"CDR-H3 loop ensemble in solution \u2013 conformational selection upon antibody binding","volume":"11","author":"Fern\u00e1ndez-Quintero","year":"2019","journal-title":"MAbs"},{"key":"10.1016\/j.jsb.2026.108368_b19","doi-asserted-by":"crossref","first-page":"3065","DOI":"10.3389\/fimmu.2018.03065","article-title":"Characterizing the diversity of the CDR-H3 loop conformational ensembles in relationship to antibody binding properties","volume":"9","author":"Fern\u00e1ndez-Quintero","year":"2019","journal-title":"Front. Immunol."},{"issue":"2","key":"10.1016\/j.jsb.2026.108368_b20","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/0022-2836(92)91010-M","article-title":"Antibody framework residues affecting the conformation of the hypervariable loops","volume":"224","author":"Foote","year":"1992","journal-title":"J. Mol. Biol."},{"issue":"D1","key":"10.1016\/j.jsb.2026.108368_b21","doi-asserted-by":"crossref","first-page":"D304","DOI":"10.1093\/nar\/gkt1240","article-title":"SCOPe: Structural Classification of Proteins-extended, integrating SCOP and ASTRAL data and classification of new structures","volume":"42","author":"Fox","year":"2014","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.jsb.2026.108368_b22","article-title":"Diagnostic and therapeutic antibodies","author":"George","year":"2010"},{"issue":"D1","key":"10.1016\/j.jsb.2026.108368_b23","doi-asserted-by":"crossref","first-page":"D536","DOI":"10.1093\/nar\/gkad947","article-title":"PED in 2024: improving the community deposition of structural ensembles for intrinsically disordered proteins","volume":"52","author":"Ghafouri","year":"2024","journal-title":"Nucleic Acids Res."},{"issue":"suppl_1","key":"10.1016\/j.jsb.2026.108368_b24","doi-asserted-by":"crossref","first-page":"D781","DOI":"10.1093\/nar\/gkj088","article-title":"IMGT\/LIGM-DB, the IMGT comprehensive database of immunoglobulin and T cell receptor nucleotide sequences","volume":"34","author":"Giudicelli","year":"2006","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.jsb.2026.108368_b25","article-title":"Improved structural modelling of antibodies and their complexes with clustered diffusion ensembles","author":"Giulini","year":"2025","journal-title":"BioRxiv"},{"issue":"1","key":"10.1016\/j.jsb.2026.108368_b26","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1186\/1471-2105-11-306","article-title":"Beyond rotamers: a generative, probabilistic model of side chains in proteins","volume":"11","author":"Harder","year":"2010","journal-title":"BMC Bioinf."},{"issue":"3","key":"10.1016\/j.jsb.2026.108368_b27","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1109\/MCSE.2007.55","article-title":"Matplotlib: A 2D graphics environment","volume":"9","author":"Hunter","year":"2007","journal-title":"Comput. Sci. Eng."},{"issue":"5611","key":"10.1016\/j.jsb.2026.108368_b28","doi-asserted-by":"crossref","first-page":"1362","DOI":"10.1126\/science.1079731","article-title":"Antibody multispecificity mediated by conformational diversity","volume":"299","author":"James","year":"2003","journal-title":"Science"},{"key":"10.1016\/j.jsb.2026.108368_b29","doi-asserted-by":"crossref","first-page":"413","DOI":"10.3389\/fimmu.2018.00413","article-title":"Repertoire analysis of antibody CDR-H3 loops suggests affinity maturation does not typically result in rigidification","volume":"9","author":"Jeliazkov","year":"2018","journal-title":"Front. Immunol."},{"key":"10.1016\/j.jsb.2026.108368_b30","series-title":"Principal Component Analysis","author":"Jolliffe","year":"2002"},{"key":"10.1016\/j.jsb.2026.108368_b31","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"},{"issue":"Pt 2","key":"10.1016\/j.jsb.2026.108368_b32","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1107\/S0907444909047337","article-title":"XDS","volume":"66","author":"Kabsch","year":"2010","journal-title":"Acta Crystallogr. D Biol. Crystallogr."},{"key":"10.1016\/j.jsb.2026.108368_b33","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1038\/s42003-025-07791-9","article-title":"AFsample2 predicts multiple conformations and ensembles with AlphaFold2","volume":"8","author":"Kalakoti","year":"2025","journal-title":"Commun. Biol."},{"issue":"16","key":"10.1016\/j.jsb.2026.108368_b34","doi-asserted-by":"crossref","first-page":"2801","DOI":"10.1093\/bioinformatics\/bty1037","article-title":"Smooth orientation-dependent scoring function for coarse-grained protein quality assessment","volume":"35","author":"Karasikov","year":"2018","journal-title":"Bioinformatics"},{"issue":"10","key":"10.1016\/j.jsb.2026.108368_b35","doi-asserted-by":"crossref","first-page":"btae576","DOI":"10.1093\/bioinformatics\/btae576","article-title":"ABodyBuilder3: improved and scalable antibody structure predictions","volume":"40","author":"Kenlay","year":"2024","journal-title":"Bioinformatics"},{"issue":"7","key":"10.1016\/j.jsb.2026.108368_b36","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1004327","article-title":"Rigidity emerges during antibody evolution in three distinct antibody systems: Evidence from QSFR analysis of Fab fragments","volume":"11","author":"Li","year":"2015","journal-title":"PLoS Comput. Biol."},{"issue":"17","key":"10.1016\/j.jsb.2026.108368_b37","doi-asserted-by":"crossref","first-page":"3013","DOI":"10.1093\/bioinformatics\/btz026","article-title":"KORP: knowledge-based 6D potential for fast protein and loop modeling","volume":"35","author":"L\u00f3pez-Blanco","year":"2019","journal-title":"Bioinformatics"},{"issue":"8","key":"10.1016\/j.jsb.2026.108368_b38","doi-asserted-by":"crossref","first-page":"3696","DOI":"10.1021\/acs.jctc.5b00255","article-title":"ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99sb","volume":"11","author":"Maier","year":"2015","journal-title":"J. Chem. Theory Comput."},{"issue":"4","key":"10.1016\/j.jsb.2026.108368_b39","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1107\/S0021889807021206","article-title":"Phaser crystallographic software","volume":"40","author":"McCoy","year":"2007","journal-title":"J. Appl. Crystallogr."},{"issue":"35","key":"10.1016\/j.jsb.2026.108368_b40","article-title":"Correlation between the binding affinity and the conformational entropy of nanobody SARS-CoV-2 spike protein complexes","volume":"119","author":"Mikolajek","year":"2022","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"6","key":"10.1016\/j.jsb.2026.108368_b41","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1038\/s41592-022-01488-1","article-title":"ColabFold: making protein folding accessible to all","volume":"19","author":"Mirdita","year":"2022","journal-title":"Nat. Methods."},{"issue":"11","key":"10.1016\/j.jsb.2026.108368_b42","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1093\/protein\/gzw028","article-title":"Revisiting antibody modeling assessment for CDR-H3 loop","volume":"29","author":"Nishigami","year":"2016","journal-title":"Protein Eng. Des. Sel."},{"key":"10.1016\/j.jsb.2026.108368_b43","series-title":"In silico affinity maturation","author":"Oberlin","year":"2013"},{"issue":"8","key":"10.1016\/j.jsb.2026.108368_b44","doi-asserted-by":"crossref","first-page":"2204","DOI":"10.1021\/ci3001474","article-title":"Engineering protein therapeutics: Predictive performances of a structure-based virtual affinity maturation protocol","volume":"52","author":"Oberlin","year":"2012","journal-title":"J. Chem. Inf. Model."},{"issue":"15","key":"10.1016\/j.jsb.2026.108368_b45","doi-asserted-by":"crossref","DOI":"10.1016\/j.jmb.2025.169003","article-title":"AFflecto: A web server to generate conformational ensembles of flexible proteins from AlphaFold models","volume":"437","author":"Pajkos","year":"2025","journal-title":"J. Mol. Biol."},{"issue":"4","key":"10.1016\/j.jsb.2026.108368_b46","doi-asserted-by":"crossref","first-page":"2494","DOI":"10.1021\/acs.jctc.9b00251","article-title":"Development of a force field for the simulation of single-chain proteins and protein\u2013protein complexes","volume":"6","author":"Piana","year":"2020","journal-title":"J. Chem. Theory Comput."},{"key":"10.1016\/j.jsb.2026.108368_b47","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/S0065-3233(03)66002-X","article-title":"Force fields for protein simulations","volume":"66","author":"Ponder","year":"2003","journal-title":"Adv. Protein. Chem."},{"issue":"5","key":"10.1016\/j.jsb.2026.108368_b48","doi-asserted-by":"crossref","first-page":"1859","DOI":"10.1021\/jp909874g","article-title":"Backbone Statistical Potential from Local Sequence-Structure Interactions in Protein Loops","volume":"114","author":"Rata","year":"2010","journal-title":"J. Phys. Chem. B"},{"issue":"7","key":"10.1016\/j.jsb.2026.108368_b49","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.1002\/prot.25291","article-title":"The H3 loop of antibodies shows unique structural characteristics","volume":"85","author":"Regep","year":"2017","journal-title":"Proteins"},{"issue":"1","key":"10.1016\/j.jsb.2026.108368_b50","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.1038\/s41467-023-38063-x","article-title":"Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies","volume":"14","author":"Ruffolo","year":"2023","journal-title":"Nat. Commun."},{"issue":"1","key":"10.1016\/j.jsb.2026.108368_b51","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1107\/S1600577516017343","article-title":"Conformational variation of proteins at room temperature is not dominated by radiation damage","volume":"24","author":"Russi","year":"2017","journal-title":"J. Synchrotron Rad."},{"issue":"1","key":"10.1016\/j.jsb.2026.108368_b52","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1073\/pnas.1218256109","article-title":"Preconfiguration of the antigen-binding site during affinity maturation of a broadly neutralizing influenza virus antibody","volume":"110","author":"Schmidt","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.jsb.2026.108368_b53","series-title":"The PyMOL molecular graphics system, version 1.8","author":"Schr\u00f6dinger","year":"2015"},{"issue":"11","key":"10.1016\/j.jsb.2026.108368_b54","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1038\/nbt.3988","article-title":"MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets","volume":"35","author":"Steinegger","year":"2017","journal-title":"Nat. Biotech."},{"issue":"5500","key":"10.1016\/j.jsb.2026.108368_b55","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"Tenenbaum","year":"2000","journal-title":"Science"},{"issue":"8","key":"10.1016\/j.jsb.2026.108368_b56","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1002\/prot.24554","article-title":"Antibody modeling assessment II. Structures and models","volume":"82","author":"Teplyakov","year":"2014","journal-title":"Proteins"},{"issue":"4","key":"10.1016\/j.jsb.2026.108368_b57","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1002\/pro.2874","article-title":"The diversity of H3 loops determines the antigen-binding tendencies of antibody CDR loops","volume":"25","author":"Tsuchiya","year":"2016","journal-title":"Protein Sci."},{"issue":"7","key":"10.1016\/j.jsb.2026.108368_b58","doi-asserted-by":"crossref","DOI":"10.3390\/ijms23073721","article-title":"VHH structural modelling approaches: A critical review","volume":"23","author":"Vishwakarma","year":"2022","journal-title":"Int. J. Mol. Sci."},{"issue":"5013","key":"10.1016\/j.jsb.2026.108368_b59","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1126\/science.2047874","article-title":"Monoclonal antibodies in diagnosis and therapy","volume":"252","author":"Waldmann","year":"1991","journal-title":"Science"},{"issue":"60","key":"10.1016\/j.jsb.2026.108368_b60","doi-asserted-by":"crossref","first-page":"3021","DOI":"10.21105\/joss.03021","article-title":"Seaborn: Statistical data visualization","volume":"6","author":"Waskom","year":"2021","journal-title":"J. Open Source Softw."},{"key":"10.1016\/j.jsb.2026.108368_b61","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1038\/s41586-023-06832-9","article-title":"Predicting multiple conformations via sequence clustering and AlphaFold2","volume":"625","author":"Wayment-Steele","year":"2024","journal-title":"Nature"},{"issue":"2","key":"10.1016\/j.jsb.2026.108368_b62","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.str.2014.11.010","article-title":"The origin of CDR H3 structural diversity","volume":"23","author":"Weitzner","year":"2015","journal-title":"Structure"},{"issue":"Pt 4","key":"10.1016\/j.jsb.2026.108368_b63","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1107\/S0907444910045749","article-title":"Overview of the CCP4 suite and current developments","volume":"67","author":"Winn","year":"2011","journal-title":"Acta Crystallogr. D Biol. Crystallogr."},{"issue":"6","key":"10.1016\/j.jsb.2026.108368_b64","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1012239","article-title":"Protein loop structure prediction by community-based deep learning and its application to antibody CDR H3 loop modeling","volume":"20","author":"Woo","year":"2024","journal-title":"PLoS Comput. Biol."},{"issue":"7","key":"10.1016\/j.jsb.2026.108368_b65","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1110\/ps.033480.107","article-title":"Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all-atom statistical energy functions","volume":"17","author":"Yang","year":"2008","journal-title":"Protein Sci."}],"container-title":["Journal of Structural Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047847726000845?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047847726000845?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T15:53:11Z","timestamp":1789746791000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1047847726000845"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":65,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["S1047847726000845"],"URL":"https:\/\/doi.org\/10.1016\/j.jsb.2026.108368","relation":{},"ISSN":["1047-8477"],"issn-type":[{"value":"1047-8477","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Antibody CDR-H3 loop flexibility: Insights from X-ray crystallography, structural bioinformatics, and the limits of current deep learning methods","name":"articletitle","label":"Article Title"},{"value":"Journal of Structural Biology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jsb.2026.108368","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"108368"}}