{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653845,0.0002825147,0.0001254332,0.0001406279,0.0000986716,0.0001607681,0.000203636,0.0002515144,0.0006383702],"category_scores_gemma":[0.0001966184,0.00009019572,0.0001988505,0.0001012598,0.0001165233,0.00009858592,0.00008435549,0.0003931101,0.0002695542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645974,"about_ca_system_score_gemma":0.0001857873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089569,"about_ca_topic_score_gemma":0.0008207196,"domain_scores_codex":[0.999926,0.00001318932,0.00000425706,0.00001103391,0.00002436863,0.00002120058],"domain_scores_gemma":[0.9998884,0.00002745791,0.00002173218,0.000006688256,0.00002502953,0.00003075117],"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":[0.00003672919,0.00003701602,0.0001197898,0.0000220329,0.000003948195,0.0000435765,0.000007945116,0.0001416205,0.9988269,0.00006029658,0.0000197364,0.0006803596],"study_design_scores_gemma":[0.0000508284,0.001228352,0.006593741,0.00001446955,0.00002863384,0.000666366,0.00003990914,0.002742917,0.98391,0.00006665599,0.004650496,0.000007700765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992793,0.0004990614,0.004927272,0.00009460637,0.00001873079,0.00004909602,0.0002497564,0.00001569242,0.001352802],"genre_scores_gemma":[0.9910308,0.0005063516,0.00523212,0.0001274313,0.000009463494,0.00002449627,0.001678621,0.00001171181,0.001379021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089569,"threshold_uncertainty_score":0.00216645,"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."}}