{"id":"W2552704709","doi":"10.3389/fnmol.2016.00120","title":"Structural and Functional Consequences of Connexin 36 (Cx36) Interaction with Calmodulin","year":2016,"lang":"en","type":"article","venue":"Frontiers in Molecular Neuroscience","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada","keywords":"Calmodulin; Connexin; Gap junction; Context (archaeology); Electrical Synapses; Biophysics; Calcium; Calcium-binding protein; Neuroscience; Binding site; Chemistry; Physics; Biology; Cell biology; 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":[0.00008746688,0.0001544558,0.0001754459,0.00006072079,0.000244948,0.0001377728,0.0001962199,0.0002493397,0.001328149],"category_scores_gemma":[0.0001965172,0.00008722874,0.0001390159,0.00007192265,0.0002473666,0.000188821,0.0002220561,0.0003669227,0.0001690762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547413,"about_ca_system_score_gemma":0.0001256997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092772,"about_ca_topic_score_gemma":0.00121898,"domain_scores_codex":[0.9999143,0.00001493147,0.000005284301,0.00001704437,0.00001904693,0.00002940454],"domain_scores_gemma":[0.9999101,0.00001678111,0.00002521378,0.000007097462,0.000007606503,0.00003307649],"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":[0.0001343505,0.00001502896,0.0003531201,0.00001832623,0.000004177749,0.0001253053,0.00001810517,0.0001293768,0.9985558,0.0002496257,0.00003334958,0.0003633709],"study_design_scores_gemma":[0.00005640047,0.0002571143,0.0267917,0.000009233363,0.00002047935,0.0005730391,0.00008262289,0.004763181,0.9652654,0.0006574105,0.001512869,0.00001055914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998923,0.0002181095,0.0003660776,0.00006934714,0.000007929537,0.000002268633,0.00003637881,0.000007736621,0.0003690374],"genre_scores_gemma":[0.9992782,0.00008515993,0.0003033613,0.0000145143,0.000003974487,0.000001897047,0.00004362426,0.000002706935,0.0002666287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328149,"threshold_uncertainty_score":0.004443049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028202289675068,"score_gpt":0.2275329007559335,"score_spread":0.2172508778591828,"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."}}