{"id":"W4404957748","doi":"10.1101/2024.11.28.625921","title":"P4ward: an automated modelling platform for Protac ternary complexes","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ternary complex; Pipeline (software); Ternary operation; Computer science; Chemistry; Programming language","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":[0.001305335,0.002623697,0.001663132,0.0006951374,0.0008727936,0.001952819,0.003737442,0.001637987,0.03170405],"category_scores_gemma":[0.002075637,0.001128574,0.002144873,0.0005783872,0.0005863539,0.001678543,0.002228912,0.002455387,0.00756522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000763675,"about_ca_system_score_gemma":0.00200723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003460413,"about_ca_topic_score_gemma":0.004522722,"domain_scores_codex":[0.9994099,0.0001071903,0.00004200797,0.0001378182,0.0002271736,0.0000758857],"domain_scores_gemma":[0.9992964,0.0003855444,0.00004694223,0.0001026602,0.0001195313,0.00004894393],"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":[0.002730273,0.0008116807,0.004857356,0.003287548,0.001254371,0.002394247,0.0008401875,0.369207,0.08996421,0.04982464,0.2180196,0.2568089],"study_design_scores_gemma":[0.0003458529,0.0001451699,0.0004005789,0.00006213918,0.00008243362,0.0002910782,0.00006775756,0.902133,0.02863428,0.01068933,0.05705536,0.00009309427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03294838,0.0005549263,0.7666347,0.0004372297,0.0002627466,0.0003274178,0.009402113,0.1805825,0.008849997],"genre_scores_gemma":[0.2152215,0.001247602,0.6824619,0.0005986311,0.0001048606,0.001457125,0.03906272,0.04475246,0.01509324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03170405,"threshold_uncertainty_score":0.1060606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235646157072391,"score_gpt":0.2607462145269402,"score_spread":0.2383897529562163,"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."}}