{"id":"W2912595852","doi":"10.1002/pro.3586","title":"Exploring new strategies for grafting binding peptides onto protein loops using a consensus‐designed tetratricopeptide repeat scaffold","year":2019,"lang":"en","type":"article","venue":"Protein Science","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Cancer Research UK","keywords":"Tetratricopeptide; Peptide; Linker; Computational biology; Grafting; Sequence (biology); Scaffold; Chemistry; Combinatorial chemistry; Immunoprecipitation; Biochemistry; Biology; Computer science; Gene; Database","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":[0.0003072195,0.0003741482,0.0002342193,0.0001739071,0.0001586737,0.0003485373,0.0004203668,0.0003903675,0.0005602625],"category_scores_gemma":[0.0002029361,0.0001882483,0.0002650789,0.0001610668,0.0003413915,0.0004807138,0.0003366877,0.0006624025,0.0002126309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343297,"about_ca_system_score_gemma":0.000184498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007578,"about_ca_topic_score_gemma":0.0004486151,"domain_scores_codex":[0.9998679,0.0000190918,0.00001042605,0.00003110379,0.00004547478,0.00002596492],"domain_scores_gemma":[0.9998763,0.00003721612,0.00004161113,0.00001517643,0.00001211491,0.00001759658],"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":[0.00002289657,0.00003516451,0.0001152884,0.00005200979,0.000006386209,0.00005161183,0.00002698986,0.000802031,0.9960548,0.0003330911,0.00001723491,0.002482551],"study_design_scores_gemma":[0.00001728218,0.0002996984,0.0004962428,0.000005950593,0.00001510988,0.0003505033,0.00002844824,0.003962434,0.9929762,0.0001642466,0.001670715,0.00001309945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529804,0.001103258,0.04445194,0.00009575123,0.00001705049,0.00008604747,0.00005185317,0.0001175776,0.001096076],"genre_scores_gemma":[0.9437599,0.00163666,0.05290924,0.00008705058,0.00000953559,0.00007044194,0.000130859,0.00003470435,0.001361526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005602625,"threshold_uncertainty_score":0.001874208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647039542890414,"score_gpt":0.2757785136132211,"score_spread":0.209308118184317,"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."}}