{"id":"W3045587099","doi":"10.1016/j.chembiol.2020.07.010","title":"Discovery of Protein-Protein Interaction Inhibitors by Integrating Protein Engineering and Chemical Screening Platforms","year":2020,"lang":"en","type":"article","venue":"Cell chemical biology","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Dr. Rolf M. Schwiete Stiftung; Else Kröner-Fresenius-Stiftung","keywords":"Drug discovery; Computational biology; Protein–protein interaction; Protein engineering; Ubiquitin; Drug development; Target protein; Phage display; Binding affinities; Identification (biology); Chemical biology; Intracellular; Chemistry; Biology; Biochemistry; Drug; Receptor; Peptide; Enzyme; Gene","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":[0.001365492,0.001494256,0.001247466,0.001224159,0.000419894,0.001883072,0.001037671,0.0008611932,0.0009495898],"category_scores_gemma":[0.0008294936,0.0005859612,0.0007341061,0.0009211023,0.000518401,0.0007877635,0.0008556014,0.001455802,0.0007326831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384543,"about_ca_system_score_gemma":0.0008850346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006721161,"about_ca_topic_score_gemma":0.001654947,"domain_scores_codex":[0.9989352,0.0001567223,0.00006448865,0.000130635,0.0005595883,0.0001534135],"domain_scores_gemma":[0.9996415,0.00008771419,0.00009891189,0.00004029413,0.00008420715,0.00004732123],"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":[0.0001725361,0.0003721415,0.0006373703,0.00019047,0.00008821009,0.0001851121,0.00002025424,0.003627124,0.9681787,0.002876803,0.000580932,0.02307037],"study_design_scores_gemma":[0.00005009877,0.0003879655,0.0004647126,0.00001226978,0.00006822106,0.0002483324,0.00001615322,0.009651682,0.981726,0.0004379215,0.006916176,0.00002045368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6036747,0.01691375,0.3501692,0.002072962,0.0003483815,0.001927591,0.002896073,0.002961705,0.0190356],"genre_scores_gemma":[0.8418672,0.01401782,0.1322629,0.000747809,0.00008996866,0.0006054181,0.002981686,0.0001595594,0.007267741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001883072,"threshold_uncertainty_score":0.01004559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009884188273884594,"score_gpt":0.2150506128654315,"score_spread":0.2051664245915469,"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."}}