{"id":"W4412891602","doi":"10.1016/j.bmcl.2025.130353","title":"Design of a peripherally biased NPSR1 antagonist for neuropeptide S induced inflammation","year":2025,"lang":"en","type":"article","venue":"Bioorganic & Medicinal Chemistry Letters","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Inflammation; Chemistry; Pharmacology; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002302702,0.0005186437,0.0007756227,0.0002834563,0.0001936846,0.0004575071,0.0007485492,0.0005537196,0.001974799],"category_scores_gemma":[0.0001828377,0.0002363847,0.0003753395,0.0002175917,0.0002155033,0.0002332632,0.0002538965,0.00109125,0.0009023292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888102,"about_ca_system_score_gemma":0.0004025681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000500001,"about_ca_topic_score_gemma":0.001393806,"domain_scores_codex":[0.9998575,0.0000266222,0.00001101861,0.00003481785,0.00002684758,0.00004318803],"domain_scores_gemma":[0.9999356,0.000007195773,0.00001494093,0.000005224173,0.00001376664,0.00002334797],"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":[0.0006510686,0.0004227598,0.0001072317,0.0002811952,0.0000423347,0.0002525555,0.00005218084,0.001034623,0.9818739,0.000610841,0.0007988353,0.01387243],"study_design_scores_gemma":[0.002095264,0.01796367,0.002114528,0.00009922092,0.0003120233,0.002293236,0.0001088318,0.00950074,0.919764,0.0004140749,0.04523677,0.00009757985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344147,0.01540797,0.03303062,0.001274453,0.0002676003,0.001451726,0.001643306,0.0004738716,0.01203581],"genre_scores_gemma":[0.9521726,0.01026751,0.02422143,0.0008393045,0.00007851254,0.0006356642,0.001723211,0.00004290214,0.01001884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974799,"threshold_uncertainty_score":0.00660634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765276527549502,"score_gpt":0.2701164883763682,"score_spread":0.2324637231008732,"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."}}