{"id":"W4383665388","doi":"10.22541/au.168888815.53957253/v1","title":"Impact of AlphaFold on Structure Prediction of Protein Complexes: The CASP15-CAPRI Experiment","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Agencia Estatal de Investigación; Narodowe Centrum Nauki; Medical Research Council; High Performance Research Computing, Texas A and M University; Fundamental Research Funds for the Central Universities; National Institutes of Health; National Natural Science Foundation of China; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Agència per a la Competitivitat de l’Empresa; King Abdullah University of Science and Technology; Uniwersytet Warszawski; Johns Hopkins University; Ministero dell’Istruzione, dell’Università e della Ricerca; Infrastruktura PL-Grid; Swedish e-Science Research Centre; National Institute of General Medical Sciences; Francis Crick Institute; Cancer Research UK; Purdue University; Wellcome Trust; European Commission; Lietuvos Mokslo Taryba; National Science Foundation; European Molecular Biology Organization; Generalitat de Catalunya","keywords":"CASP; Inference; Computer science; Protein structure prediction; Computational biology; Artificial intelligence; Biology; Protein structure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02093801,0.003499668,0.002035723,0.001761319,0.001133342,0.002483098,0.002802803,0.002549579,0.004173765],"category_scores_gemma":[0.01927701,0.0005755074,0.002361256,0.0008862794,0.00116279,0.003069154,0.002690912,0.002873413,0.002843459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462166,"about_ca_system_score_gemma":0.001729194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005865808,"about_ca_topic_score_gemma":0.004085597,"domain_scores_codex":[0.9924689,0.003551174,0.0004250573,0.001567102,0.001247836,0.0007399143],"domain_scores_gemma":[0.9859517,0.006584774,0.0005888488,0.00337356,0.001952902,0.001548206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01446413,0.002939156,0.1675802,0.001754452,0.004022193,0.00108555,0.0006027596,0.5136995,0.02049433,0.004588071,0.1160675,0.1527022],"study_design_scores_gemma":[0.0006235666,0.004058943,0.02877228,0.0001881978,0.0004513555,0.0006462398,0.0004334666,0.919846,0.02970718,0.004603954,0.01052085,0.0001479738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374704,0.005927252,0.01518294,0.002309041,0.0007830471,0.0002151224,0.007155657,0.01746351,0.01349297],"genre_scores_gemma":[0.9477208,0.0004981443,0.02375488,0.0009035144,0.0001660617,0.0001210647,0.02278772,0.00110893,0.002938868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02093801,"threshold_uncertainty_score":0.1107321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04922981070166223,"score_gpt":0.3503176600868491,"score_spread":0.3010878493851869,"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."}}