{"id":"W2052174532","doi":"10.1002/pro.135","title":"Rate and extent of protein localization is controlled by peptide‐binding domain association kinetics and morphology","year":2009,"lang":"en","type":"article","venue":"Protein Science","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Kinetics; Biophysics; Fusion protein; Chromosomal translocation; Receptor–ligand kinetics; Cell biology; Transport protein; Protein domain; Cytoskeleton; Biology; Nuclear localization sequence; Calmodulin; Chemistry; Biochemistry; Cell; Recombinant DNA; Receptor; Gene; Nucleus; Enzyme; Physics","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":[0.0002998101,0.0001763657,0.0002846533,0.0001819315,0.0002128642,0.0006824459,0.0002535484,0.0003250039,0.0004087313],"category_scores_gemma":[0.001129878,0.0002538643,0.000181728,0.0001765099,0.0004263501,0.0005199403,0.000274225,0.0003484893,0.0001943117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006077914,"about_ca_system_score_gemma":0.0002997155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006705882,"about_ca_topic_score_gemma":0.000478318,"domain_scores_codex":[0.9998385,0.0000264884,0.00001214423,0.00004436459,0.00004844262,0.00003010459],"domain_scores_gemma":[0.9993721,0.0002924549,0.0001295804,0.00004913536,0.00009191888,0.00006477437],"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":[0.00005867356,0.00001475428,0.001230202,0.00001681232,0.000004193975,0.00003573828,0.00003630904,0.005858681,0.9905089,0.0007287175,0.00002260743,0.001484283],"study_design_scores_gemma":[0.00003062152,0.0001535152,0.008016101,0.000004792328,0.00001432903,0.0001697263,0.00006853092,0.1443021,0.8450763,0.0007232784,0.001409775,0.00003094415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893821,0.0001007207,0.009765921,0.0000432808,0.000004354069,0.000009283784,0.00002487117,0.00004253867,0.0006268556],"genre_scores_gemma":[0.9969313,0.0001473575,0.002475457,0.000008119981,0.000001093951,0.0000172933,0.00004102212,0.0000167269,0.0003615645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006824459,"threshold_uncertainty_score":0.00440985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004773661641930233,"score_gpt":0.2245322269509815,"score_spread":0.2197585653090512,"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."}}