{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003440531,0.0003276612,0.0002839942,0.0002018495,0.0002184273,0.00007072779,0.000268067,0.0002553502,0.000001836082],"category_scores_gemma":[0.00008382373,0.0003132914,0.0002701713,0.000629392,0.0001120587,0.00000941094,0.00008552855,0.0001092479,0.00001463503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003223827,"about_ca_system_score_gemma":0.00008025792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001032082,"about_ca_topic_score_gemma":0.000006073384,"domain_scores_codex":[0.9981052,0.00008723009,0.000366323,0.0006962938,0.0002294475,0.0005154569],"domain_scores_gemma":[0.9989359,0.00001408221,0.0001677228,0.0005804275,0.0002171183,0.00008471005],"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":[0.00008839605,0.00003359417,0.0002012026,0.00001635307,0.0001272676,0.00002230337,0.00002148543,0.0002438946,0.959703,0.0003242152,0.0001880871,0.03903018],"study_design_scores_gemma":[0.000717287,0.0002944138,0.001395569,0.00002873105,0.00003364325,0.00002274823,0.00005634249,0.001767457,0.9827029,0.0007425574,0.01173452,0.0005038374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.801222,0.0007486099,0.1968305,0.0003328055,0.0000569353,0.0004375827,0.0000178571,0.0002389869,0.0001146418],"genre_scores_gemma":[0.9829113,0.0007752157,0.0144041,0.000754506,0.0001476707,0.00009664975,0.0005509007,0.00009975156,0.0002598558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1824264,"threshold_uncertainty_score":0.9999319,"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."}}