{"id":"W3013615095","doi":"10.1186/s12915-019-0708-7","title":"A straightforward approach for bioorthogonal labeling of proteins and organelles in live mammalian cells, using a short peptide tag","year":2020,"lang":"en","type":"article","venue":"BMC Biology","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; University of Toronto; European Commission","keywords":"Bioorthogonal chemistry; Organelle; Biology; Protein tag; Epitope; Live cell imaging; Computational biology; Biochemistry; Peptide; Cell biology; Cytoplasm; Cell; Molecular biology; Fusion protein; Click chemistry; Genetics; Chemistry; Antibody; Gene; Combinatorial chemistry; Recombinant DNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996708,0.0006186659,0.0003077842,0.0003890032,0.0002687151,0.0003910139,0.0005125336,0.0009682808,0.001854121],"category_scores_gemma":[0.0002740797,0.0002462775,0.0004447058,0.0003245286,0.000378772,0.0003572784,0.0005334596,0.001436078,0.001343247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632323,"about_ca_system_score_gemma":0.000362413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001615862,"about_ca_topic_score_gemma":0.0005005458,"domain_scores_codex":[0.9997353,0.00003604834,0.00001941662,0.00008478526,0.00008850744,0.00003582714],"domain_scores_gemma":[0.9998599,0.00003404967,0.00002950184,0.00003188048,0.00002112173,0.00002347749],"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":[0.0000138775,0.00002185424,0.00003362324,0.00007083145,0.000006159601,0.00004599865,0.00001355273,0.00005069507,0.9958288,0.0005346109,0.0001403155,0.003239687],"study_design_scores_gemma":[0.00001209781,0.0001299297,0.0002585915,0.000006678509,0.00001330759,0.0004921037,0.000008072739,0.0004278479,0.9875759,0.0003085119,0.01075579,0.00001121242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2139271,0.003829636,0.7682514,0.0009226407,0.0004019529,0.0009368485,0.001282028,0.001367116,0.009081291],"genre_scores_gemma":[0.3876069,0.004654153,0.5915536,0.0009425915,0.00008957877,0.0009730827,0.002478979,0.0001516958,0.01154932],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001854121,"threshold_uncertainty_score":0.006202638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0776595822524984,"score_gpt":0.2866603786219948,"score_spread":0.2090007963694964,"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."}}