{"id":"W2938874044","doi":"10.1002/pro.3618","title":"Side chain electrostatic interactions and pH‐dependent expansion of the intrinsically disordered, highly acidic carboxyl‐terminus of γ‐tubulin","year":2019,"lang":"en","type":"article","venue":"Protein Science","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chemistry; Intrinsically disordered proteins; Electrostatics; Diffusion; Static electricity; Molecule; Crystallography; Radius of gyration; Side chain; Titration; Chemical physics; Polymer; Physics; Physical chemistry; Thermodynamics; Organic chemistry; Biochemistry","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":[0.0001620662,0.0001158433,0.00007613347,0.0001250715,0.00009582577,0.0001842743,0.00009024037,0.00009341572,0.0004868987],"category_scores_gemma":[0.0002675127,0.0000789798,0.00008335117,0.0001169076,0.0002373319,0.0001826393,0.0001000416,0.0002646127,0.00007876454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174847,"about_ca_system_score_gemma":0.00007164056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007830622,"about_ca_topic_score_gemma":0.0009632339,"domain_scores_codex":[0.9999496,0.000009510146,0.000002818474,0.00001002036,0.00001650632,0.00001153009],"domain_scores_gemma":[0.9998294,0.00004705864,0.00005608416,0.000008030708,0.00002391909,0.00003541362],"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":[0.00006308493,0.000005248589,0.001878289,0.000009138743,0.000005557119,0.00003068357,0.00002752011,0.0002488124,0.9971846,0.00003016414,0.00000932651,0.0005074398],"study_design_scores_gemma":[0.0000081879,0.0001959403,0.1010026,0.000005723691,0.00001404241,0.000270714,0.00009115488,0.007480251,0.8904279,0.00009758501,0.0003933223,0.00001261068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994554,0.00003812774,0.0003186073,0.000006329432,6.217138e-7,0.000001233069,0.00002863482,0.000002593673,0.0001485764],"genre_scores_gemma":[0.9994951,0.00003552374,0.0002346517,0.000007919103,6.567292e-7,0.000001634714,0.0000632328,0.000002410772,0.0001587662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007830622,"threshold_uncertainty_score":0.001628876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003382327853369717,"score_gpt":0.2257234926794189,"score_spread":0.2223411648260492,"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."}}