{"id":"W1816107362","doi":"10.1111/j.1747-0285.2011.01125.x","title":"Entropic Fragment‐Based Approach to Aptamer Design","year":2011,"lang":"en","type":"article","venue":"Chemical Biology & Drug Design","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Computational biology; DNA; RNA; Template; Binding affinities; Exponential growth; Molecular recognition; Biology; Chemistry; Combinatorial chemistry; Nanotechnology; Computer science; Biochemistry; Genetics; Gene; Materials science; Mathematics; Molecule","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":[0.0003765026,0.0006141956,0.0005118931,0.0005666586,0.0003255162,0.0004127775,0.001113445,0.0007683844,0.002148952],"category_scores_gemma":[0.0006094112,0.000400562,0.0004941725,0.000316316,0.0007547396,0.0004202865,0.0004790264,0.0006605582,0.0006170174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009298876,"about_ca_system_score_gemma":0.0005482187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005321745,"about_ca_topic_score_gemma":0.0004461729,"domain_scores_codex":[0.9997526,0.00005677435,0.00001050038,0.00003940468,0.0001176752,0.00002313164],"domain_scores_gemma":[0.9998265,0.00009642848,0.00001835448,0.00002241103,0.00002743974,0.00000888531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002072737,0.000115395,0.0002787809,0.0004254347,0.00005963683,0.0003092206,0.0001464238,0.4905134,0.2598853,0.1499798,0.001006271,0.09707298],"study_design_scores_gemma":[0.00006115511,0.0002431496,0.0001694673,0.00002390834,0.000028669,0.0002541327,0.00001431444,0.8806877,0.07089596,0.03657754,0.0109972,0.00004689033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01494772,0.0005394208,0.9796473,0.0001507775,0.00003659082,0.00007822824,0.00003585532,0.0002818096,0.004282319],"genre_scores_gemma":[0.3871956,0.001233408,0.6043261,0.0002250361,0.00005301414,0.0004100554,0.0001782848,0.0001808832,0.006197609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002148952,"threshold_uncertainty_score":0.007188976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464690042329682,"score_gpt":0.2600859243408712,"score_spread":0.2254390239175744,"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."}}