{"id":"W2764180024","doi":"10.1021/acsmedchemlett.7b00347","title":"χ-Space Screening of Dermorphin-Based Tetrapeptides through Use of Constrained Arylazepinone and Quinolinone Scaffolds","year":2017,"lang":"en","type":"article","venue":"ACS Medicinal Chemistry Letters","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université de Sherbrooke","funders":"Vrije Universiteit Brussel; Canadian Institutes of Health Research; Agentschap voor Innovatie door Wetenschap en Technologie; National Institute on Drug Abuse; Fonds Wetenschappelijk Onderzoek","keywords":"Dermorphin; Tetrapeptide; Chemistry; Stereochemistry; Receptor; Oligopeptide; Peptide; In vitro; Opioid; Opioid peptide; Amino acid; Residue (chemistry); Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009664075,0.0003309134,0.0001980656,0.000147675,0.00008790318,0.0002184401,0.0002012295,0.000161304,0.001003585],"category_scores_gemma":[0.0001357851,0.0001096848,0.0001170616,0.0001464588,0.0001274224,0.0001763778,0.0002465716,0.000173892,0.000241818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150799,"about_ca_system_score_gemma":0.0001556406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002979576,"about_ca_topic_score_gemma":0.0009313755,"domain_scores_codex":[0.9999334,0.00001228128,0.000004589062,0.00001543321,0.00002162381,0.00001278904],"domain_scores_gemma":[0.9999412,0.00001089945,0.00001888855,0.000005774829,0.000007324901,0.00001599181],"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":[0.0001981303,0.00007425884,0.0002313038,0.00008974212,0.000008478567,0.0001533196,0.00002399216,0.002628054,0.9919,0.0001546954,0.00004339654,0.004494616],"study_design_scores_gemma":[0.00008105151,0.001811242,0.001866812,0.00001170052,0.00002682616,0.0002988638,0.00006054854,0.004662756,0.9882684,0.0001078364,0.002783929,0.00002002813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947264,0.0005993712,0.003012455,0.00003493176,0.000007440324,0.0000516859,0.0001610118,0.00002954225,0.001377151],"genre_scores_gemma":[0.992844,0.000823991,0.004957918,0.00002886776,0.000004134226,0.00003327958,0.0002191379,0.000009274028,0.001079439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003585,"threshold_uncertainty_score":0.003357351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06768743494555218,"score_gpt":0.2801151199347699,"score_spread":0.2124276849892177,"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."}}