{"id":"W2343238565","doi":"10.1002/prot.25007","title":"Prediction of homoprotein and heteroprotein complexes by protein docking and template‐based modeling: A CASP‐CAPRI experiment","year":2016,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Division of Integrative Organismal Systems; Directorate for Biological Sciences; National Institutes of Health; Regione Campania; Division of Biological Infrastructure; National Institute of General Medical Sciences; Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche; National Research Foundation; Building Innovation Partnership; Research Councils UK; National Research Foundation of Korea; European Bioinformatics Institute; Ministerio de Economía y Competitividad; National Science Foundation; Horizon 2020 Framework Programme; Cancer Research UK; European Commission; Klaus Tschira Stiftung; Japan Agency for Medical Research and Development","keywords":"CASP; Homology modeling; Docking (animal); Computational biology; Computer science; Protein structure prediction; Template; Macromolecular docking; Protein structure; Bioinformatics; Data mining; Biology; Biochemistry; Programming language; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001405499,0.0003199619,0.0002727516,0.0001033664,0.0001898291,0.0000624318,0.00008832295,0.0002867545,0.00001146814],"category_scores_gemma":[0.00004780178,0.0002196,0.00004743713,0.00008461184,0.0002215331,0.00004400506,0.0001324603,0.0001184945,3.104203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001852559,"about_ca_system_score_gemma":0.00004336299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004493088,"about_ca_topic_score_gemma":0.00001929459,"domain_scores_codex":[0.9986169,0.00004404337,0.0004914968,0.0003447627,0.0002336935,0.0002691231],"domain_scores_gemma":[0.9991981,0.000007021806,0.0002477016,0.0002951435,0.0001114347,0.000140575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003044636,0.00001978963,0.0006510031,0.0002961081,0.00005427998,3.133048e-7,0.00009214336,0.00003374567,0.9794056,0.0002370201,0.00005479581,0.01885076],"study_design_scores_gemma":[0.00370378,0.002148171,0.0005059959,0.0003251189,0.00006395314,0.0000740645,0.0002450789,0.03402094,0.9527572,0.002673365,0.002869533,0.0006127458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948732,0.000857192,0.202373,0.0001333788,0.00007181262,0.001316579,0.000301863,0.00003451314,0.00003849415],"genre_scores_gemma":[0.9816281,0.00007176014,0.01782451,0.00008918031,0.0001038086,0.0001007914,0.0001173654,0.0000245799,0.00003991506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1867549,"threshold_uncertainty_score":0.8955029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192565642475052,"score_gpt":0.2104065274022416,"score_spread":0.198480870977491,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}