{"id":"W4388570138","doi":"10.1016/j.omtn.2023.102073","title":"A bimolecular modification strategy for developing long-lasting bone anabolic aptamer","year":2023,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Key Research and Development Program of China; Young Scientists Fund; Science, Technology and Innovation Commission of Shenzhen Municipality; Hunan Provincial Science and Technology Department; National Natural Science Foundation of China; Basic and Applied Basic Research Foundation of Guangdong Province; Chinese University of Hong Kong; Natural Science Foundation for Young Scientists of Shanxi Province; Hong Kong Baptist University","keywords":"Aptamer; Chemistry; Anabolism; Human serum albumin; Conjugate; Druggability; Conjugated system; Anabolic Agents; Biochemistry; Pharmacology; Biophysics; Molecular biology; Biology","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":[0.0001885517,0.0004454818,0.0002322074,0.0002213951,0.0001328994,0.0002068246,0.0003169574,0.000486747,0.000905399],"category_scores_gemma":[0.0001945162,0.0001906659,0.0001946065,0.0001458062,0.0002001768,0.0002836399,0.0002931111,0.0005235852,0.0004655808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268841,"about_ca_system_score_gemma":0.0002057136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002333075,"about_ca_topic_score_gemma":0.0003098394,"domain_scores_codex":[0.9997864,0.0000314212,0.00001186921,0.00007751779,0.00005825309,0.00003439591],"domain_scores_gemma":[0.9999224,0.00001032401,0.00002716947,0.000008380177,0.0000117201,0.00002008142],"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":[0.00003359814,0.00002973643,0.00005931779,0.00003967193,0.00000538575,0.00003354673,0.00001218992,0.0001247767,0.9947876,0.0002080993,0.00006119415,0.004604992],"study_design_scores_gemma":[0.00001919273,0.0004411494,0.0005193583,0.000002355721,0.00001509434,0.0003287092,0.000008372689,0.002122182,0.9925229,0.00007880735,0.003930178,0.00001169123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511467,0.003915334,0.1380499,0.0003308696,0.0001953071,0.0003056681,0.0001531861,0.0005161251,0.005387004],"genre_scores_gemma":[0.9477555,0.001004234,0.04518586,0.0002412882,0.00003630774,0.0002601275,0.00009991559,0.000027195,0.005389602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000905399,"threshold_uncertainty_score":0.00302887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461209334631472,"score_gpt":0.3198367122384272,"score_spread":0.2852246188921125,"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."}}