{"id":"W2004579769","doi":"10.1073/pnas.0804919105","title":"In vivo supramolecular templating enhances the activity of multivalent ligands: A potential therapeutic against the <i>Escherichia coli</i> O157 AB <sub>5</sub> toxins","year":2008,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Avidity; Escherichia coli; Effector; Ligand (biochemistry); Chemistry; Receptor; In vivo; Cell biology; Biochemistry; Supramolecular chemistry; Scaffold protein; Linker; Computational biology; Biophysics; Combinatorial chemistry; Biology; Signal transduction","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":[0.0007807272,0.0001158678,0.0001451412,0.00005021396,0.0002404867,0.00001406689,0.0007859226,0.00009425981,0.000001738665],"category_scores_gemma":[0.0001747755,0.00006213231,0.0001275328,0.0003701268,0.0009430647,0.00003825946,0.0001625942,0.0001608314,3.32972e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136477,"about_ca_system_score_gemma":0.00007050677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001276126,"about_ca_topic_score_gemma":0.000001027703,"domain_scores_codex":[0.9986849,0.00002113895,0.0002847199,0.0002369045,0.0006066706,0.0001656315],"domain_scores_gemma":[0.999317,0.00005329621,0.0003894703,0.00002408355,0.0001976462,0.00001852255],"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":[0.00004707461,0.00006179752,0.001018963,0.00001736402,0.00002926084,2.273971e-8,0.0002249397,0.0002788721,0.9978045,0.000128374,0.0001811729,0.0002076841],"study_design_scores_gemma":[0.0001605837,0.0000983995,0.01403819,0.00004457208,0.00001001844,0.000006037561,0.0002566772,0.0006493705,0.9841502,0.0004375928,0.00007397539,0.00007439766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977014,0.0003578603,0.000008502829,0.00122581,0.00002911759,0.0002109544,0.00001186329,0.000002251214,0.0004522286],"genre_scores_gemma":[0.9987496,0.0004995554,0.00005660979,0.0005660113,0.00007682959,0.00001702561,1.641297e-7,0.000004616777,0.00002962955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365429,"threshold_uncertainty_score":0.3474761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239019658995848,"score_gpt":0.2713187387311869,"score_spread":0.2474167728316022,"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."}}