{"id":"W2033988872","doi":"10.1023/b:jnmr.0000048857.44219.c3","title":"Using chemical exchange to assign non-covalent protein complexes in slow exchange with the free state: Enhanced resolution and efficient signal editing","year":2004,"lang":"en","type":"article","venue":"Journal of Biomolecular NMR","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; W. M. Keck Foundation","keywords":"Chemistry; Ligand (biochemistry); Chemical shift; Target protein; Resolution (logic); Monomer; Amide; Docking (animal); Covalent bond; Crystallography; Biochemistry; Receptor","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":[0.001688475,0.0007378521,0.0004428584,0.000434341,0.0005946219,0.001412623,0.001279005,0.001028455,0.001188068],"category_scores_gemma":[0.002556643,0.0006134345,0.000294848,0.0004345959,0.0009939322,0.001374695,0.0009844149,0.001992445,0.0002496197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004452469,"about_ca_system_score_gemma":0.000417661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005213515,"about_ca_topic_score_gemma":0.00132088,"domain_scores_codex":[0.999691,0.00007671089,0.00001785502,0.00008918525,0.0000791138,0.00004607979],"domain_scores_gemma":[0.9989379,0.0003973308,0.0001944677,0.0002488568,0.0001099658,0.0001115724],"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":[0.0003796477,0.00006287904,0.0005302073,0.000160014,0.00006435483,0.0002045596,0.0001617211,0.001062631,0.9800577,0.002700882,0.0003032449,0.01431204],"study_design_scores_gemma":[0.00007105918,0.00009692329,0.0007602389,0.000008989694,0.00005280222,0.0003891875,0.0000363976,0.01301171,0.9817033,0.001016676,0.002820915,0.00003178006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382799,0.001175112,0.2564109,0.0006118699,0.0001461006,0.000103374,0.0001122109,0.0006825767,0.002477958],"genre_scores_gemma":[0.8674588,0.0008824764,0.1277047,0.0002505985,0.00003898876,0.00008968095,0.000190914,0.0003894653,0.002994311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001688475,"threshold_uncertainty_score":0.00892967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009423368080670527,"score_gpt":0.2459962471831614,"score_spread":0.2365728791024909,"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."}}