{"id":"W3193588325","doi":"10.1038/s41422-021-00552-3","title":"Structural insights into ligand recognition and activation of the melanocortin-4 receptor","year":2021,"lang":"en","type":"article","venue":"Cell Research","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key New Drug Creation and Manufacturing Program, Ministry of Science and Technology; Zhejiang University; Novo Nordisk; National Natural Science Foundation of China","keywords":"Melanocortin 4 receptor; Biology; Heterotrimeric G protein; Melanocortin 3 receptor; Agonist; Receptor; Functional selectivity; Melanocortin; G protein-coupled receptor; Melanocortin receptor; Ligand (biochemistry); Cell biology; G protein; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002011773,0.00005136735,0.0000606241,0.00002610294,0.0001305617,0.00002243614,0.00008182693,0.0000887215,0.00008587854],"category_scores_gemma":[0.0001375041,0.00003705781,0.00003089192,0.0001353548,0.00006507113,0.000003844678,0.0001377591,0.0001211088,0.000003821757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009173036,"about_ca_system_score_gemma":0.00008671339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002282605,"about_ca_topic_score_gemma":0.00001247972,"domain_scores_codex":[0.9992584,0.000147389,0.0001086206,0.0001851808,0.0001846846,0.0001157201],"domain_scores_gemma":[0.9994491,0.0000265805,0.00003807168,0.0001649955,0.0002842271,0.00003696407],"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":[0.00002401009,0.000008758283,0.0001707566,0.00002820258,0.000006401836,2.575508e-7,0.0002040991,0.000002362661,0.9913117,0.00002683673,0.0002110249,0.008005617],"study_design_scores_gemma":[0.0001667098,0.00007539426,0.0003175178,0.00002171636,0.000002037657,0.000001064911,0.0003113869,0.00002953894,0.9940529,0.001701632,0.003272483,0.00004764969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982185,0.0006443724,0.00007151558,0.00007547771,0.00007725746,0.0001043763,0.000001942095,0.000001634262,0.0008049134],"genre_scores_gemma":[0.9985018,0.0003212208,0.000304218,0.00002138574,0.000102413,0.000006907693,0.00005751715,0.000007935591,0.0006765974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007957968,"threshold_uncertainty_score":0.1511173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678645002691675,"score_gpt":0.3019139073268521,"score_spread":0.2551274572999354,"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."}}