{"id":"W4410480159","doi":"10.1002/pro.70153","title":"Molecular characterization of a synthetic neutralizing antibody targeting p67 of <i>Theileria parva</i>","year":2025,"lang":"en","type":"article","venue":"Protein Science","topic":"Toxin Mechanisms and Immunotoxins","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University of Waterloo","funders":"Argonne National Laboratory; International Development Research Centre; Bill and Melinda Gates Foundation","keywords":"Epitope; Virology; Antibody; Neutralization; Neutralizing antibody; Theileria parva; Biology; Antigen; Phage display; Peptide; Epitope mapping; Linear epitope; Mutagenesis; Peptide library; Peptide sequence; Virus; Immunology; Mutation; Genetics; Biochemistry; Parasite hosting","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":[0.0006454061,0.0001010108,0.0002126492,0.0001717768,0.0001443926,0.00001417383,0.0004194805,0.0000768584,0.00006186042],"category_scores_gemma":[0.0001787652,0.00009082419,0.00005346462,0.0006150579,0.0005129794,0.0001576963,0.0001391141,0.0001016019,0.00001028779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001456565,"about_ca_system_score_gemma":0.0001399231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002977947,"about_ca_topic_score_gemma":2.298212e-7,"domain_scores_codex":[0.9990034,0.00008234052,0.0003363727,0.0002588202,0.00005925369,0.0002597756],"domain_scores_gemma":[0.99935,0.00001888886,0.0002171553,0.0002725059,0.0001311467,0.00001034801],"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":[0.00002076598,0.00005148973,0.0001622717,0.00004815128,0.00001108462,4.293526e-7,0.0001512469,0.000003719064,0.9832444,0.01474842,0.00000112151,0.001556896],"study_design_scores_gemma":[0.000204192,0.00006773044,0.001608149,0.0002116277,0.000009748117,0.000001506419,0.00006471568,0.00003427136,0.9967148,0.0004939963,0.0005095904,0.00007972082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889013,0.0003526237,0.009456505,0.00009159562,0.0003032926,0.0003940749,0.00001065746,0.00002365848,0.0004663404],"genre_scores_gemma":[0.9990981,0.00001707383,0.0006537719,0.00004194686,0.000002694241,0.00002288557,0.00001096118,0.000005522886,0.0001470056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01425443,"threshold_uncertainty_score":0.3703703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00594247784373663,"score_gpt":0.2486892950319189,"score_spread":0.2427468171881823,"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."}}