{"id":"W2990980575","doi":"10.1038/s41598-019-54005-4","title":"Unraveling Determinants of Affinity Enhancement in Dimeric Aptamers for a Dimeric Protein","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; SELEX Aptamer Technique; Linker; Chemistry; Steric effects; Plasma protein binding; DNA; Binding site; Biophysics; Combinatorial chemistry; Biochemistry; Computational biology; Biology; Stereochemistry; Molecular biology; RNA; Gene; Computer science","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":[0.000754189,0.0001194205,0.0002165346,0.0001102375,0.00005170006,0.0000210532,0.00009243466,0.00007681891,0.000003638771],"category_scores_gemma":[0.0001256446,0.0001039523,0.0001147977,0.0002890128,0.0001272205,0.000005181968,0.00006775635,0.00004317438,0.000001243121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001663118,"about_ca_system_score_gemma":0.00008600862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001972042,"about_ca_topic_score_gemma":0.00004080481,"domain_scores_codex":[0.9985384,0.00002679429,0.0004417639,0.000585484,0.0001760642,0.0002315444],"domain_scores_gemma":[0.9989191,0.000006702941,0.0003570291,0.0005549715,0.00012471,0.00003745799],"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":[0.00002823049,0.00006652674,0.007357796,0.00003685337,0.00001015082,0.000004996164,0.00001814618,0.000007715337,0.9873977,0.000001310713,0.0001032971,0.004967278],"study_design_scores_gemma":[0.0001106615,0.0001551339,0.0003786295,0.00006141778,0.00001004689,0.000009077175,0.00004640968,0.0001863546,0.9941386,0.0002083162,0.004556316,0.0001390406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975889,0.00006925041,0.0009698995,0.000009979743,0.0006588696,0.000592088,0.000001529648,0.00001004082,0.00009939253],"genre_scores_gemma":[0.9897929,0.000006786217,0.008060365,0.00001235083,0.00001860543,0.00003612775,0.00004574741,0.00001071358,0.00201635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007795996,"threshold_uncertainty_score":0.4239054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034101515819841,"score_gpt":0.2796396474251424,"score_spread":0.2692986322669439,"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."}}