{"id":"W4383500228","doi":"10.1021/acsomega.3c03064","title":"Mapping Peptide–Protein Interactions by Amine-Reactive Cleavable Photoaffinity Reagents","year":2023,"lang":"en","type":"article","venue":"ACS Omega","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba; Research Manitoba; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Fonds Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; University of Manitoba","keywords":"Photoaffinity labeling; Chemistry; Peptide; Melittin; Binding site; Combinatorial chemistry; Tandem mass spectrometry; Drug discovery; Small molecule; Plasma protein binding; Target protein; Biochemistry; Mass spectrometry; Chromatography","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":[0.000122069,0.000130301,0.0001465142,0.00005521556,0.0001084049,0.00003306182,0.0001685621,0.00008765179,0.00003550516],"category_scores_gemma":[0.0002159429,0.0001256412,0.0001284326,0.0003145572,0.00003742623,0.000007353171,0.0001405845,0.0001063916,0.0001895203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002383384,"about_ca_system_score_gemma":0.00001514083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001573683,"about_ca_topic_score_gemma":0.00003010445,"domain_scores_codex":[0.999095,0.00003201478,0.0001778289,0.0003310817,0.0001167053,0.0002473457],"domain_scores_gemma":[0.999473,0.00002789109,0.00007615759,0.000291021,0.00004927557,0.00008265857],"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":[0.00001449777,0.00005585234,0.0005267693,0.000006455388,0.0000927366,0.000002011173,0.00002579493,0.000002804036,0.9578055,0.000002802839,0.03956564,0.001899177],"study_design_scores_gemma":[0.000137812,0.00002102064,0.0006185314,0.00001567486,0.00001305046,0.000001448747,0.0001703146,0.00003627108,0.8032237,0.00005615948,0.1955651,0.0001409509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944935,0.00006241287,0.0001172642,0.0002835735,0.00004673133,0.00009165368,0.00005260913,0.00003990088,0.004812382],"genre_scores_gemma":[0.9847534,0.00007003049,0.00006507526,0.0001515759,0.0001320313,0.00004773936,0.0003754825,0.00002013636,0.01438456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559994,"threshold_uncertainty_score":0.51235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495951122043928,"score_gpt":0.2537744393140098,"score_spread":0.2388149280935705,"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."}}