{"id":"W2041892429","doi":"10.1021/bi035122t","title":"Detection of α-Helical Coiled-Coil Dimer Formation by Spin-Labeled Synthetic Peptides:  A Model Parallel Coiled-Coil Peptide and the Antiparallel Coiled Coil Formed by a Replica of the ProP C-Terminus","year":2003,"lang":"en","type":"article","venue":"Biochemistry","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Hospital for Sick Children; University of Toronto","funders":"U.S. Public Health Service","keywords":"Coiled coil; Peptide; Antiparallel (mathematics); Chemistry; Heptad repeat; Circular dichroism; Crystallography; Peptide sequence; Protein structure; Site-directed spin labeling; Nuclear magnetic resonance spectroscopy; Stereochemistry; Biochemistry; Membrane","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":[0.0001380257,0.0003102763,0.0001487009,0.0001266822,0.0001043732,0.000116138,0.0001280499,0.000252319,0.0005165041],"category_scores_gemma":[0.0001665038,0.0001300177,0.00008333274,0.000106274,0.0001588194,0.0001370051,0.0001076617,0.0003392858,0.0001914983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000906989,"about_ca_system_score_gemma":0.00007666999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009695708,"about_ca_topic_score_gemma":0.0001301415,"domain_scores_codex":[0.999894,0.00002398795,0.000006287536,0.00003443983,0.00002747257,0.00001380531],"domain_scores_gemma":[0.9997885,0.00004386494,0.00005399706,0.00001655865,0.000049731,0.00004749413],"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":[0.00002759543,0.000005847813,0.0001293449,0.00000940589,0.000001375744,0.00001285537,0.000005036396,0.00001477361,0.9995056,0.00001022803,0.000006286688,0.0002714852],"study_design_scores_gemma":[0.00001044066,0.0001785343,0.002316968,0.000002806054,0.000005875739,0.0002889677,0.00001711052,0.001226744,0.9954737,0.00003614875,0.0004393079,0.000003299916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897614,0.0002363175,0.009238924,0.00003230534,0.00001205487,0.00001893211,0.0000935123,0.00004365775,0.0005629777],"genre_scores_gemma":[0.9862406,0.0001818118,0.01236755,0.0000580654,0.000006781437,0.00002782681,0.0003902215,0.00001363169,0.0007134936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005165041,"threshold_uncertainty_score":0.001727879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004693642380172075,"score_gpt":0.2093372192979903,"score_spread":0.2046435769178182,"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."}}