{"id":"W4404623434","doi":"10.1021/acsomega.4c07071","title":"A High-Throughput Method for Screening Peptide Activators of G-Protein-Coupled Receptors","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Receptor; High-throughput screening; G protein-coupled receptor; Peptide; Throughput; Chemistry; Computational biology; Computer science; Biochemistry; Biology; Telecommunications","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":[0.0009819083,0.001223684,0.001204321,0.001457568,0.0005882686,0.0008508064,0.0009997593,0.0009618766,0.003031175],"category_scores_gemma":[0.0005070959,0.0004523411,0.0008395175,0.0007768814,0.0003162614,0.0006169763,0.0008196876,0.001523898,0.003024414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896653,"about_ca_system_score_gemma":0.0005545991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003814246,"about_ca_topic_score_gemma":0.0008675225,"domain_scores_codex":[0.9983045,0.0002826869,0.0001003323,0.0002902754,0.0008853554,0.0001368263],"domain_scores_gemma":[0.9997182,0.0001186948,0.00002579133,0.00004369986,0.00005288637,0.00004065839],"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":[0.00009659459,0.0002483288,0.0002963163,0.0001489682,0.00004122666,0.0001062153,0.00001581244,0.0004740198,0.9807468,0.0004420436,0.001002934,0.01638077],"study_design_scores_gemma":[0.0001317517,0.0008047574,0.001389656,0.00001974966,0.00009592047,0.0006842039,0.00002643875,0.006683817,0.9713951,0.0005165033,0.01820291,0.00004922846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1099222,0.007217019,0.8599135,0.001143171,0.0005203488,0.003120658,0.005166018,0.004475153,0.008521924],"genre_scores_gemma":[0.3356148,0.008386827,0.6223593,0.0011511,0.0003152103,0.007384702,0.007970099,0.0004456239,0.0163723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003031175,"threshold_uncertainty_score":0.01014024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450543753523547,"score_gpt":0.2837908894849703,"score_spread":0.2692854519497348,"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."}}