{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000705642,0.0001686733,0.0001700862,0.00005105354,0.0002245031,0.0001937971,0.0003015628,0.0002815639,0.0009933723],"category_scores_gemma":[0.0001443764,0.0001356064,0.0001516924,0.00006620993,0.0001966795,0.0001757219,0.0001356065,0.0006194961,0.0002365286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004597821,"about_ca_system_score_gemma":0.0004230316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002298713,"about_ca_topic_score_gemma":0.002430266,"domain_scores_codex":[0.9999523,0.000006110238,0.000003287794,0.00001024743,0.00001451603,0.00001349594],"domain_scores_gemma":[0.9999532,0.000008215585,0.00001244323,0.000005527489,0.000007712516,0.0000129423],"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":[0.0001157346,0.00002710614,0.0004386011,0.00003934123,0.000009614466,0.0002871599,0.00003868239,0.001777752,0.9939745,0.001246488,0.0003213666,0.001723633],"study_design_scores_gemma":[0.0001442171,0.0003239819,0.007929499,0.00001740345,0.0000391418,0.001625908,0.0002201755,0.03060075,0.948894,0.001390836,0.008772674,0.00004151716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889021,0.0008007276,0.006988245,0.0003779636,0.00004700046,0.00002794878,0.000211297,0.0001191819,0.002525482],"genre_scores_gemma":[0.9941124,0.000315254,0.004462984,0.0001412564,0.000005174765,0.00001512789,0.0002688568,0.00001766314,0.0006611973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002298713,"threshold_uncertainty_score":0.004570663,"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."}}