{"id":"W2319371729","doi":"10.1021/ja3081555","title":"Explaining the Highly Enantiomeric Photocyclodimerization of 2-Anthracenecarboxylate Bound to Human Serum Albumin Using Time-Resolved Anisotropy Studies","year":2012,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Protein Interaction Studies and Fluorescence Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Chemistry; Human serum albumin; Fluorescence anisotropy; Enantiomer; Anisotropy; Rotational correlation time; Supramolecular chemistry; Enantiomeric excess; Binding site; Excited state; Fluorescence; Stereochemistry; Crystallography; Organic chemistry; Biochemistry; Enantioselective synthesis; Crystal structure; Molecule; Catalysis","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":[0.0001390914,0.0001847854,0.0001491044,0.0001077419,0.0001404503,0.0002073484,0.0001483597,0.0001719213,0.0008142347],"category_scores_gemma":[0.0003255388,0.0001061192,0.000138534,0.0001165112,0.0002376276,0.0001794306,0.00009704987,0.0003950276,0.0001219783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079914,"about_ca_system_score_gemma":0.0001499742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228626,"about_ca_topic_score_gemma":0.001098029,"domain_scores_codex":[0.9999144,0.00001220963,0.000003317419,0.00002372277,0.00002042156,0.00002595637],"domain_scores_gemma":[0.9998672,0.00004440536,0.00004208158,0.0000161481,0.00001773658,0.00001237783],"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":[0.0000430739,0.000008759518,0.0002735909,0.00002259248,0.000003059506,0.00006838291,0.00002830054,0.0003790508,0.9972333,0.000449488,0.00003546692,0.001454852],"study_design_scores_gemma":[0.000003758685,0.00002327123,0.001407212,0.000001107435,0.000003131072,0.00007055304,0.00001324451,0.002510875,0.9955414,0.00006625198,0.0003551537,0.000004035746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922585,0.0004591889,0.005490722,0.0001036358,0.00001174565,0.00001341672,0.00008283318,0.00005536819,0.001524648],"genre_scores_gemma":[0.9980533,0.0001941153,0.00119658,0.00001570834,0.00000264912,0.000006891132,0.0000393056,0.000008396506,0.0004830858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001228626,"threshold_uncertainty_score":0.002723873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173730390286221,"score_gpt":0.3199231539840728,"score_spread":0.2981858500812106,"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."}}