{"id":"W3189282363","doi":"10.1016/j.saa.2021.120261","title":"Molecular insights into binding mechanism of rutin to bovine serum albumin – Levothyroxine complex: Spectroscopic and molecular docking approaches","year":2021,"lang":"en","type":"article","venue":"Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy","topic":"Protein Interaction Studies and Fluorescence Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare; Ministerul Cercetării şi Inovării; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ontario Ministry of Research, Innovation and Science","keywords":"Rutin; Bovine serum albumin; Chemistry; Antioxidant; Quenching (fluorescence); Denaturation (fissile materials); Binding site; Biophysics; Biochemistry; Fluorescence; Nuclear chemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002650177,0.000821121,0.0009897799,0.000415059,0.0003367014,0.0002020596,0.0004560614,0.0003059587,0.00006434117],"category_scores_gemma":[0.0001777175,0.000842442,0.0004321257,0.0009102892,0.0003092085,0.00003266722,0.0009456743,0.0003650037,0.00001092379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008449829,"about_ca_system_score_gemma":0.0001597306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000534112,"about_ca_topic_score_gemma":0.0000721043,"domain_scores_codex":[0.9955418,0.0002827686,0.0008424217,0.001746377,0.0006261077,0.0009605031],"domain_scores_gemma":[0.9978375,0.00002220862,0.0003409583,0.001094202,0.0002326978,0.0004724771],"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":[0.0002008206,0.0001983531,0.0002090463,0.0001102118,0.0007385812,0.0002859228,0.0001701696,0.00001288282,0.9891503,0.008612052,0.00016576,0.0001458248],"study_design_scores_gemma":[0.001061035,0.001011806,0.0001692019,0.0001223031,0.0002989889,0.000141991,0.0003806534,0.0003582381,0.9911581,0.001448056,0.002996155,0.0008535217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294169,0.004481757,0.06170082,0.002475542,0.0001346623,0.0006200823,0.00002997728,0.00004914847,0.001091146],"genre_scores_gemma":[0.9816366,0.0009516113,0.01559047,0.001206389,0.0001314295,0.00007651266,0.0002292848,0.0001157728,0.00006191847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05221974,"threshold_uncertainty_score":0.9994026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417300016391176,"score_gpt":0.2591121398705415,"score_spread":0.2449391397066298,"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."}}