{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073831,0.0002470356,0.0002297368,0.0001354005,0.00008234932,0.0002914603,0.000199122,0.0002620761,0.0008685944],"category_scores_gemma":[0.0005408074,0.0001757791,0.0001328974,0.0000985347,0.0001469309,0.0002261709,0.0001472858,0.0004108595,0.0002563086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772672,"about_ca_system_score_gemma":0.0001112013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001777351,"about_ca_topic_score_gemma":0.0002866788,"domain_scores_codex":[0.9997302,0.00009969746,0.00002208454,0.0000520679,0.00006683707,0.00002912648],"domain_scores_gemma":[0.9995995,0.0002043011,0.00006193598,0.00002706087,0.00005835868,0.00004883454],"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":[0.00002447804,0.00002003455,0.0005000442,0.00001296911,0.000003830459,0.00001642339,0.00001211291,0.0001649713,0.9985637,0.00004106962,0.000007992458,0.0006323171],"study_design_scores_gemma":[0.000007858331,0.000161523,0.00407674,0.000003332794,0.00001615228,0.0001958305,0.00003360108,0.005292598,0.9895763,0.00006077433,0.0005700703,0.000005051082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907685,0.0003580032,0.008358592,0.00003478687,0.000004552595,0.00001453627,0.00002996565,0.00001875394,0.000412163],"genre_scores_gemma":[0.9968663,0.00007678122,0.002681316,0.00002477426,0.000001778842,0.00000778017,0.00003313591,0.000006185407,0.0003019666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008685944,"threshold_uncertainty_score":0.002905726,"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."}}