{"id":"W2804171243","doi":"10.1002/pep2.24078","title":"Equipotent enantiomers of cyclic opioid peptides at μ opioid receptor","year":2018,"lang":"en","type":"article","venue":"Peptide Science","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Enantiomer; Chemistry; Stereochemistry; Agonist; Affinities; Receptor; Peptide; Opioid receptor; Cyclic peptide; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006550796,0.0001593545,0.0001641978,0.0001106265,0.000314786,0.00003659461,0.0005732403,0.00008002305,0.0004716235],"category_scores_gemma":[0.0001787682,0.0001377621,0.0001053158,0.000377399,0.001037588,0.00001571062,0.0003905845,0.00005512536,0.0001199704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004421539,"about_ca_system_score_gemma":0.0001678307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004619351,"about_ca_topic_score_gemma":0.0000199921,"domain_scores_codex":[0.9982665,0.00002773119,0.0002819439,0.0005510555,0.0004144211,0.0004583157],"domain_scores_gemma":[0.9989551,0.00001077022,0.0001554912,0.0004471256,0.0002628533,0.0001686749],"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":[0.00002950943,0.00002236338,0.0007767373,0.00001344071,0.000008338352,3.773191e-7,0.0001790786,0.00001005856,0.9950919,0.0002148103,0.0009943988,0.002658992],"study_design_scores_gemma":[0.0001692727,0.0003627432,0.000967749,0.00002924476,0.00000557566,0.000007342248,0.000136238,0.00008089001,0.9645597,0.0001445945,0.03335578,0.0001809035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941642,0.0002306622,0.001590883,0.00004278299,0.0006030543,0.0001396275,0.0000154154,0.00001470517,0.003198661],"genre_scores_gemma":[0.9905154,0.0001619567,0.006212553,0.0001283621,0.0003409628,0.00000982014,0.00001488556,0.00001628183,0.002599774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03236138,"threshold_uncertainty_score":0.5617774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163647031589453,"score_gpt":0.260609446199653,"score_spread":0.2489729758837585,"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."}}