{"id":"W2557712321","doi":"10.1021/acssynbio.6b00310","title":"Engineering Synthetic Proteins to Generate Ca<sup>2+</sup> Signals in Mammalian Cells","year":2016,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute","keywords":"Extracellular; Transmembrane protein; Protein engineering; Cell biology; Exocytosis; Fusion protein; Biophysics; Biology; Motility; Synthetic biology; Cytoplasm; Receptor; Biochemistry; Recombinant DNA; Membrane; Computational biology","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":[0.000468987,0.0005898643,0.0003438737,0.0002525072,0.0002216217,0.0004683087,0.0004643706,0.0007043321,0.0007933219],"category_scores_gemma":[0.0003695903,0.0003495907,0.00041147,0.0003055155,0.0004033314,0.0002974158,0.0003094822,0.0007283593,0.0007143745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667706,"about_ca_system_score_gemma":0.000412418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004601795,"about_ca_topic_score_gemma":0.0007059352,"domain_scores_codex":[0.9997162,0.00005236237,0.00004042825,0.00005166515,0.00009320724,0.00004613239],"domain_scores_gemma":[0.9997473,0.00006447366,0.00008981199,0.00002647844,0.00003726083,0.00003460171],"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":[0.0000422328,0.00002311434,0.00005272328,0.00005975424,0.000006140228,0.00005592851,0.00002472797,0.0004328461,0.9975131,0.0006441016,0.00007426139,0.001071106],"study_design_scores_gemma":[0.00002262958,0.000101961,0.0002593407,0.000006890788,0.00001372789,0.0001422882,0.00001778011,0.002067491,0.9867866,0.0001249665,0.01044791,0.000008347831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8446054,0.002454377,0.1421319,0.0007261899,0.0003658105,0.0006275487,0.001409689,0.0006401744,0.007039061],"genre_scores_gemma":[0.8371146,0.002050582,0.1503389,0.0003081028,0.00004070082,0.0004856333,0.00163934,0.0002765684,0.007745499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007933219,"threshold_uncertainty_score":0.004112184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006805115423834896,"score_gpt":0.206669573301103,"score_spread":0.1998644578772681,"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."}}