{"id":"W2793145624","doi":"10.3390/antib7010009","title":"Structural Changes in Stx1 Engineering Monoclonal Antibody Improves Its Functionality as Diagnostic Tool for a Rapid Latex Agglutination Test","year":2018,"lang":"en","type":"article","venue":"Antibodies","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Escherichia coli; Monoclonal antibody; Hybridoma technology; Linker; Microbiology; Recombinant DNA; Single-chain variable fragment; Diphtheria toxin; Antigen; Bacteria; Chemistry; Antibody; Shiga toxin; Dissociation constant; Toxin; Biology; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001835137,0.0003228505,0.000160703,0.0001900667,0.0000806294,0.0002331279,0.0002192256,0.000291641,0.0008285771],"category_scores_gemma":[0.0002580185,0.0001124511,0.0001794178,0.0001526868,0.000109947,0.0001721085,0.0001646459,0.0003845842,0.0002734577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767994,"about_ca_system_score_gemma":0.0001097049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003493578,"about_ca_topic_score_gemma":0.0003897378,"domain_scores_codex":[0.9998463,0.00002977607,0.00001440212,0.00003310287,0.0000447761,0.00003153488],"domain_scores_gemma":[0.9998977,0.00001661255,0.00003166794,0.000010917,0.00002723991,0.0000157805],"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":[0.00001787657,0.00001609828,0.0001500819,0.0000120908,0.000002173765,0.00002716265,0.000005999778,0.00005050679,0.9987776,0.00003989157,0.00001388009,0.0008867498],"study_design_scores_gemma":[0.000004989847,0.0001434071,0.001266908,0.000003259287,0.00001104844,0.0001438736,0.000007858227,0.0006466959,0.9962057,0.00001590119,0.001547801,0.00000246531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894941,0.0006263176,0.008502062,0.0001162527,0.00002714162,0.00002481227,0.0001134517,0.00005818233,0.001037584],"genre_scores_gemma":[0.9893607,0.0004332809,0.00810914,0.00008126345,0.00001048958,0.00001657663,0.0003396569,0.00002304274,0.001625737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008285771,"threshold_uncertainty_score":0.002771795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529884260427227,"score_gpt":0.3045175525882544,"score_spread":0.2892187099839821,"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."}}