{"id":"W2330128624","doi":"10.1021/acs.jmedchem.5b01976","title":"Bifunctional Peptide-Based Opioid Agonist–Nociceptin Antagonist Ligands for Dual Treatment of Acute and Neuropathic Pain","year":2016,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"European Regional Development Fund; Canadian Institutes of Health Research; Centre National de la Recherche Scientifique; Université de Strasbourg; Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki; Ministerio de Economía y Competitividad; National Institute on Drug Abuse; Agence Nationale de la Recherche","keywords":"Nociceptin receptor; Chemistry; Neuropathic pain; Pharmacology; NOP; Opioid; Analgesic; Hyperalgesia; Pharmacophore; Agonist; Opioid receptor; Allodynia; Antagonist; Receptor; Opioid peptide; Nociception; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004493413,0.000186242,0.000381148,0.00004336022,0.0001014043,0.0000145949,0.0001382032,0.00006687699,0.00007764084],"category_scores_gemma":[0.0006099648,0.0001092583,0.0001850755,0.00007457301,0.0003676755,0.00007046201,0.00002191605,0.0001209452,0.000001757899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004895377,"about_ca_system_score_gemma":0.0002065928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001310486,"about_ca_topic_score_gemma":1.00181e-7,"domain_scores_codex":[0.99865,0.00006551016,0.0004983633,0.0002502129,0.0003074812,0.0002284444],"domain_scores_gemma":[0.9980516,0.00100363,0.0005116594,0.0001261162,0.0001250503,0.0001818706],"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":[0.001141785,0.0001766899,0.0003807235,0.00008554368,0.00002271696,0.0001825573,0.00002903123,0.000001548616,0.9880245,0.00002338196,0.0008287079,0.009102752],"study_design_scores_gemma":[0.002666453,0.003999087,0.0005392902,0.0001618924,0.0001136008,0.0007447567,0.00002676742,0.0001005075,0.980481,0.000134909,0.01091451,0.0001172654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979096,0.00009362386,0.0003051565,0.001164979,0.0001900407,0.00008396208,0.00007746736,0.000009929065,0.0001652139],"genre_scores_gemma":[0.9976636,0.0003094503,0.00009003359,0.0005072832,0.0007684396,0.00000488455,0.000002085804,0.00001971917,0.0006345458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100858,"threshold_uncertainty_score":0.4455426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435332710631433,"score_gpt":0.2690800488947786,"score_spread":0.2447267217884643,"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."}}