{"id":"W2612915091","doi":"10.1038/s41598-017-02055-x","title":"Selection and characterization of a DNA aptamer inhibiting coagulation factor XIa","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; McMaster University; Canadian Blood Services","funders":"Health Canada; Heart and Stroke Foundation of Canada; Australian Government; Canadian Blood Services; McMaster University; Government of Canada","keywords":"Aptamer; Serine protease; Systematic evolution of ligands by exponential enrichment; Thrombin; Chemistry; Serpin; Biochemistry; Factor IX; SELEX Aptamer Technique; Surface plasmon resonance; Antithrombin; DNA shuffling; DNA; Protease; Directed evolution; Molecular biology; Biology; Enzyme; Mutant; Platelet; Gene; RNA","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":[0.0001947216,0.0003070845,0.00025759,0.0002699693,0.00009979709,0.0002178385,0.0002074441,0.0003051641,0.0008109791],"category_scores_gemma":[0.0004206578,0.0001240115,0.0002245955,0.0002053406,0.0001211588,0.00009431474,0.0001449809,0.0002875032,0.0004613375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035504,"about_ca_system_score_gemma":0.0001901912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004088678,"about_ca_topic_score_gemma":0.0003798588,"domain_scores_codex":[0.9997982,0.00003220155,0.00001587687,0.0000515426,0.00006485503,0.00003735652],"domain_scores_gemma":[0.9998236,0.00003850636,0.00003579663,0.0000160835,0.00004159887,0.00004450428],"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":[0.00001996146,0.00002886373,0.0001135506,0.00001318269,0.000002925669,0.00002462891,0.000008139548,0.0001983178,0.997866,0.00002677178,0.00001206188,0.001685621],"study_design_scores_gemma":[0.00001278614,0.0004563501,0.001032078,0.000002554148,0.00001171912,0.0001986643,0.000008401197,0.001233974,0.9960876,0.0000192391,0.0009326723,0.000004002141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691774,0.0007720269,0.02732221,0.00009048011,0.00002460043,0.0002783406,0.0004651463,0.0001350954,0.001734761],"genre_scores_gemma":[0.9766367,0.0003388959,0.01898555,0.00007770476,0.000009038894,0.00009648129,0.001016449,0.00003681925,0.002802319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008109791,"threshold_uncertainty_score":0.002713025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418920815973643,"score_gpt":0.2756735163484136,"score_spread":0.2514843081886772,"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."}}