{"id":"W2980678340","doi":"10.1002/prot.25838","title":"Blind prediction of homo‐ and hetero‐protein complexes: The CASP13‐CAPRI experiment","year":2019,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases; Medical Research Council; National Institutes of Health; H2020 European Institute of Innovation and Technology; Lietuvos Mokslo Taryba; National Research Foundation of Korea; Francis Crick Institute; Medical Research Council Canada; National Natural Science Foundation of China; Wellcome Trust; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; National Research Foundation; National Science Foundation; Horizon 2020 Framework Programme; Cancer Research UK","keywords":"CASP; Template; Docking (animal); Protein structure prediction; Computer science; Computational biology; Chemistry; Biology; Protein structure; Biochemistry; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01567856,0.002842165,0.002289907,0.0009533082,0.00112571,0.002249867,0.00260982,0.002943994,0.005306872],"category_scores_gemma":[0.01580656,0.0005850791,0.00240612,0.000879429,0.001095631,0.002131416,0.002777827,0.003762871,0.005047794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108593,"about_ca_system_score_gemma":0.001896036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004052255,"about_ca_topic_score_gemma":0.003192864,"domain_scores_codex":[0.9910536,0.003382096,0.0005581488,0.002207568,0.001897992,0.0009006592],"domain_scores_gemma":[0.9869719,0.005663563,0.0005509807,0.00381404,0.001622599,0.00137694],"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":[0.01605762,0.003205563,0.0851771,0.002100723,0.003796962,0.002271172,0.0009412701,0.483198,0.07040322,0.006876983,0.1867237,0.1392478],"study_design_scores_gemma":[0.0005920333,0.001356195,0.01277515,0.00008384662,0.0002093951,0.0006965991,0.00031835,0.9234062,0.04741507,0.003856097,0.009144314,0.0001466351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843701,0.003662877,0.05868889,0.001774137,0.0008893201,0.0004801653,0.01067877,0.02853825,0.0109174],"genre_scores_gemma":[0.8759322,0.0003585565,0.07072317,0.001113499,0.0001515631,0.0002097472,0.04565254,0.001811916,0.004046855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01567856,"threshold_uncertainty_score":0.08291709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00675560256241768,"score_gpt":0.2063586023320199,"score_spread":0.1996029997696022,"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."}}