{"id":"W4400736122","doi":"10.1021/acs.analchem.4c02520","title":"Binder-Responsive DNA Strand Displacement Enables High-Throughput and High-Fidelity Discovering of Small Molecular DNA Binders","year":2024,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Key Research and Development Program of China","keywords":"DNA; Chemistry; Multiple displacement amplification; Throughput; Displacement (psychology); A-DNA; Biophysics; Nanotechnology; Fidelity; Computational biology; Combinatorial chemistry; Polymerase chain reaction; Biochemistry; Gene; Computer science; Materials science; Biology; DNA extraction","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":[0.0007019342,0.0004787504,0.0005290895,0.000409279,0.0002202428,0.0005571948,0.0006026113,0.0005820229,0.001390831],"category_scores_gemma":[0.0009150041,0.0003264784,0.0002175502,0.0003569589,0.0005237989,0.0005764892,0.0006804289,0.0008856061,0.0008415254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440623,"about_ca_system_score_gemma":0.0003688902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004292974,"about_ca_topic_score_gemma":0.0010658,"domain_scores_codex":[0.9991516,0.0001160861,0.00004327029,0.0001955398,0.0003897711,0.0001038381],"domain_scores_gemma":[0.9996113,0.0001488226,0.0000852953,0.00004320994,0.00005571479,0.00005557003],"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":[0.00004439645,0.00002447798,0.0001147083,0.00006944604,0.000004738833,0.0000366098,0.00002514109,0.0004116255,0.9913216,0.0005248733,0.0001520265,0.007270287],"study_design_scores_gemma":[0.000005795859,0.00005695741,0.0001102901,0.000002814458,0.000002895177,0.00004977853,0.000006676326,0.001662967,0.9958335,0.00007208913,0.002187763,0.000008488332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6567403,0.009075656,0.3145831,0.0007622226,0.0002847646,0.0003443679,0.001348969,0.004401575,0.01245902],"genre_scores_gemma":[0.8966032,0.002740024,0.09228311,0.0003705646,0.00004958132,0.0001679003,0.000561421,0.0001286446,0.007095593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390831,"threshold_uncertainty_score":0.004652858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00896141404983336,"score_gpt":0.2636030968888986,"score_spread":0.2546416828390652,"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."}}