{"id":"W2164655870","doi":"10.1021/bi0264162","title":"Detecting Protein Kinase Recognition Modes of Calmodulin by Residual Dipolar Couplings in Solution NMR","year":2002,"lang":"en","type":"article","venue":"Biochemistry","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Calmodulin; Residual; Residual dipolar coupling; Dipole; Chemistry; Biophysics; Chemical physics; Biological system; Computational chemistry; Nuclear magnetic resonance; Biochemistry; Physics; Biology; Enzyme; Computer science; Algorithm; Organic chemistry","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":[0.0005027357,0.0003917392,0.0002974031,0.000227229,0.0002622548,0.0004707394,0.0008207486,0.0005658549,0.0008816347],"category_scores_gemma":[0.0006021377,0.0002671716,0.0002046313,0.0002057801,0.0005040786,0.0004121698,0.0003864233,0.00101944,0.0002344175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003716713,"about_ca_system_score_gemma":0.0002132567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008920629,"about_ca_topic_score_gemma":0.001750847,"domain_scores_codex":[0.9997657,0.00004990327,0.00001226139,0.00006825667,0.00006180831,0.00004204866],"domain_scores_gemma":[0.9996505,0.0001286224,0.00007007267,0.00005025743,0.00005247124,0.00004813283],"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":[0.00004605229,0.000009428536,0.0001017431,0.00004260899,0.000004977823,0.00002341271,0.00002026375,0.0002974129,0.9978223,0.0003436138,0.0000492193,0.001239003],"study_design_scores_gemma":[0.00005002928,0.0002633874,0.001174998,0.00001046624,0.00002879191,0.0001962787,0.00005142159,0.0167784,0.9787351,0.0003847839,0.00230583,0.0000204298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281133,0.0009764154,0.06722152,0.0002791458,0.00003903239,0.00008209118,0.0003058361,0.0003405997,0.002641997],"genre_scores_gemma":[0.931839,0.001066071,0.0649041,0.0001933509,0.00002756594,0.0000978649,0.0005793769,0.0000709379,0.001221748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008920629,"threshold_uncertainty_score":0.002949357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003571509912731,"score_gpt":0.2131929023524026,"score_spread":0.2031571872532753,"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."}}