{"id":"W1987008930","doi":"10.1371/journal.pone.0033943","title":"Crystal Structures of the Tetratricopeptide Repeat Domains of Kinesin Light Chains: Insight into Cargo Recognition Mechanisms","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Earl Haig Secondary School; University of Toronto; Structural Genomics Consortium","funders":"Knut och Alice Wallenbergs Stiftelse; Natural Sciences and Engineering Research Council of Canada; Karolinska Institutet; Stiftelsen för Strategisk Forskning; Ontario Genomics Institute; Canadian Institutes of Health Research; Ontario Genomics; Genome Canada; Ontario Innovation Trust; Wellcome Trust; GlaxoSmithKline","keywords":"Tetratricopeptide; Isothermal titration calorimetry; Kinesin; Protein–protein interaction; Chemistry; Binding site; Biophysics; Protein structure; Plasma protein binding; Crystallography; Biology; Biochemistry; Cell biology; Microtubule","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":[0.0002015436,0.0003163672,0.0003550546,0.0001442619,0.0003187472,0.0004163969,0.0005603253,0.0004321626,0.0007834474],"category_scores_gemma":[0.0003477021,0.0002331372,0.00018469,0.0003674505,0.0001837131,0.0003361205,0.00017642,0.001203263,0.0002257101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007877691,"about_ca_system_score_gemma":0.0006798205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002995475,"about_ca_topic_score_gemma":0.004134638,"domain_scores_codex":[0.9999024,0.00001437578,0.000005829505,0.00001691256,0.00004412034,0.00001639703],"domain_scores_gemma":[0.9998801,0.00002995703,0.00002499671,0.000006528715,0.00003511663,0.0000232529],"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":[0.001316484,0.0008704467,0.02403065,0.001848164,0.0002863873,0.001628785,0.001120938,0.04379721,0.8409529,0.01293757,0.02641132,0.04479917],"study_design_scores_gemma":[0.001489763,0.0007319287,0.1100764,0.0003489841,0.000538415,0.002559653,0.001696317,0.3865266,0.3875542,0.009543915,0.09872083,0.0002130414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844174,0.005724365,0.003646216,0.0006861512,0.00005672772,0.00003727887,0.002188266,0.0001844793,0.003059113],"genre_scores_gemma":[0.9734228,0.004705535,0.009972615,0.0002994309,0.00002469151,0.00009453649,0.008695375,0.00005839786,0.002726618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002995475,"threshold_uncertainty_score":0.005956054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147893649754346,"score_gpt":0.2045303461369201,"score_spread":0.1897409811614855,"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."}}