{"id":"W3012534023","doi":"10.1002/cbic.202000024","title":"In Vitro Selection of New DNA Aptamers for Human Vascular Endothelial Growth Factor 165","year":2020,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"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; DNA; Biology; Computational biology; VEGF receptors; SELEX Aptamer Technique; In vitro; Molecular biology; Binding site; Chemistry; Biochemistry; Gene; Cancer research; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005531726,0.0001583878,0.0002290445,0.00004094913,0.00003291661,0.000007986692,0.0001310464,0.0001643675,0.000005084609],"category_scores_gemma":[0.0001395582,0.0001560114,0.0002082186,0.0001613089,0.00005213843,0.000004462057,0.00004258156,0.00007178415,6.882629e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001502842,"about_ca_system_score_gemma":0.00004674611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002398939,"about_ca_topic_score_gemma":0.000006824851,"domain_scores_codex":[0.9991055,0.00001471568,0.0002300202,0.0003613879,0.00009584767,0.0001925272],"domain_scores_gemma":[0.9995689,0.000007670965,0.0001074753,0.0001427629,0.0000843633,0.00008879262],"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":[0.0001297514,0.00003644583,0.0001295217,0.00003744856,0.00005550908,3.696417e-7,0.00004291624,2.618688e-7,0.9976615,0.00001470485,0.001166932,0.0007246037],"study_design_scores_gemma":[0.0006559397,0.0001909142,0.00006565175,0.000007056732,0.00002831619,0.000001155494,0.0000335343,0.00004113236,0.9940634,0.000104903,0.004630808,0.0001771979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960093,0.00006620764,0.00316815,0.0003038472,0.00002537979,0.0002176151,0.00003899201,0.00003210929,0.0001384318],"genre_scores_gemma":[0.994036,0.00004292482,0.004882691,0.0003582255,0.0003411935,0.000008872197,0.0001280982,0.00002342886,0.0001786314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003598145,"threshold_uncertainty_score":0.6361961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155201452747229,"score_gpt":0.2695027301074052,"score_spread":0.2539825848326823,"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."}}