{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009685869,0.002776136,0.002283199,0.001154117,0.0009817231,0.001613203,0.002575283,0.001918032,0.003906263],"category_scores_gemma":[0.009520678,0.0006154698,0.002268913,0.001092009,0.0007058161,0.001503871,0.002018,0.002279912,0.002475557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008730781,"about_ca_system_score_gemma":0.0009785971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471766,"about_ca_topic_score_gemma":0.001674721,"domain_scores_codex":[0.9952219,0.001960884,0.0003421997,0.0008041402,0.001267367,0.0004036495],"domain_scores_gemma":[0.9914908,0.004567923,0.0003922257,0.001857047,0.001185579,0.0005064022],"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":[0.003754355,0.001728113,0.03580023,0.000815313,0.001535184,0.001471551,0.000442342,0.7869223,0.06852597,0.005799443,0.0322727,0.06093252],"study_design_scores_gemma":[0.0001659192,0.0005749761,0.005091826,0.00001812594,0.00007875532,0.0003759841,0.0001310767,0.9525326,0.03638828,0.001860462,0.00271455,0.0000674548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572788,0.001243395,0.1178011,0.0005949762,0.000184026,0.0003563023,0.005282425,0.01104838,0.006210553],"genre_scores_gemma":[0.859213,0.0003052216,0.113638,0.0002205346,0.00002851806,0.0003121182,0.02364231,0.001329035,0.001311283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009685869,"threshold_uncertainty_score":0.05122441,"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."}}