{"id":"W2126996939","doi":"10.1038/nsmb.2965","title":"Structural basis for bifunctional peptide recognition at human δ-opioid receptor","year":2015,"lang":"en","type":"article","venue":"Nature Structural & Molecular Biology","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"Basic Energy Sciences; National Institute on Drug Abuse; National Institute of Mental Health; National Science Foundation; Canadian Institutes of Health Research; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; National Institute of General Medical Sciences; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; National Cancer Institute; National Institutes of Health","keywords":"Tetrapeptide; Bifunctional; Peptide; Nociceptin receptor; Chemistry; Agonist; Opioid peptide; Opioid receptor; Receptor; Pharmacology; Antagonist; Opioid; Stereochemistry; Biochemistry; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008543346,0.0003649929,0.0003539288,0.0001267845,0.0003643486,0.0000368959,0.0003834511,0.0004905026,0.0003088839],"category_scores_gemma":[0.0008535136,0.0002905288,0.0002396685,0.0002257908,0.0003110726,0.0001236872,0.0002149181,0.0005974925,0.00008770976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333626,"about_ca_system_score_gemma":0.00005595108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001855931,"about_ca_topic_score_gemma":0.00001094201,"domain_scores_codex":[0.9976949,0.0002423123,0.0003363335,0.0009422622,0.0002008888,0.0005833114],"domain_scores_gemma":[0.9989548,0.0001312575,0.0002027159,0.0002866213,0.0002088261,0.000215797],"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":[0.0003447746,0.000005632312,0.0001485667,0.00001241377,0.00001455653,0.000009685516,0.00002883511,0.00001297806,0.983117,0.01187022,0.002744099,0.001691284],"study_design_scores_gemma":[0.001276799,0.001254756,0.002093765,0.0000128544,0.00003315704,0.0001854142,0.00002159249,0.0001064811,0.8988651,0.06764074,0.02795151,0.0005578581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959943,0.0001306755,0.00004005573,0.00041663,0.001773489,0.0004662413,0.0004322884,0.0001272745,0.0006190194],"genre_scores_gemma":[0.9928362,0.000005388743,0.001193176,0.00433093,0.0006606112,0.00004232638,0.0005284536,0.00004905411,0.0003538804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08425187,"threshold_uncertainty_score":0.9999547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686241668705494,"score_gpt":0.3204904513934247,"score_spread":0.2836280347063698,"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."}}