{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591815,0.0002537837,0.0002471312,0.00008852967,0.00003598328,0.00001505301,0.0002859386,0.0003557572,0.0001369558],"category_scores_gemma":[0.0001717395,0.0001770036,0.00006909001,0.0001276923,0.00008131918,0.000005191752,0.0001504025,0.00008931513,0.0001314995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003064148,"about_ca_system_score_gemma":0.00003127219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002990259,"about_ca_topic_score_gemma":0.000005385717,"domain_scores_codex":[0.9984542,0.00009298619,0.0003201407,0.0005865692,0.00006894446,0.0004772138],"domain_scores_gemma":[0.9993336,0.0000310927,0.00005852127,0.0003784973,0.0000528532,0.0001454005],"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":[0.00004884455,0.00002057271,0.0001584684,0.00001443971,0.00001491776,0.000003159577,0.00003770959,0.0002300614,0.9935114,0.00007800301,0.00009187675,0.005790501],"study_design_scores_gemma":[0.0002704532,0.0001948843,0.0003245769,0.00004791558,0.000007945455,0.00001621653,0.000008911019,0.0002013371,0.9851453,0.0001205336,0.01335066,0.0003112367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994624,0.0001054447,0.003061971,0.001554792,0.0001289496,0.0003398109,0.00008829727,0.00002217782,0.00007459996],"genre_scores_gemma":[0.9979025,0.00005327535,0.0008264199,0.0004184511,0.0002290838,0.00009469565,0.00005013037,0.00003102331,0.0003944809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325878,"threshold_uncertainty_score":0.7217997,"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."}}