{"id":"W1995357525","doi":"10.1021/bi050519d","title":"NmerA, the Metal Binding Domain of Mercuric Ion Reductase, Removes Hg<sup>2+</sup> from Proteins, Delivers It to the Catalytic Core, and Protects Cells under Glutathione-Depleted Conditions<sup>,</sup>","year":2005,"lang":"en","type":"article","venue":"Biochemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Center for Research Resources","keywords":"Catalysis; Chemistry; Glutathione; Thioredoxin; Metal; Metal ions in aqueous solution; Thioredoxin reductase; Intracellular; Escherichia coli; Biophysics; Stereochemistry; Biochemistry; Enzyme; Biology; Organic chemistry","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":[0.0001315738,0.0002369493,0.0002146201,0.0001033158,0.0001160887,0.0002505219,0.000215857,0.0001995329,0.0008342111],"category_scores_gemma":[0.0001423337,0.0001032974,0.0002588259,0.00009251433,0.000173124,0.0002391874,0.0001563092,0.0004239767,0.000620177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021962,"about_ca_system_score_gemma":0.0001343529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006070886,"about_ca_topic_score_gemma":0.001126984,"domain_scores_codex":[0.9999142,0.00001162266,0.000006640741,0.00002803206,0.00002788509,0.00001160278],"domain_scores_gemma":[0.9998946,0.00002558364,0.00002562845,0.00002005147,0.00001923794,0.00001495044],"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":[0.00002810501,0.000009976096,0.0003517487,0.00002662934,0.000003958537,0.00001646708,0.000009537541,0.0000328268,0.9976617,0.00008908828,0.00003728899,0.001732789],"study_design_scores_gemma":[0.000001912291,0.00006234863,0.005240122,0.000002922867,0.000005239834,0.0002778758,0.00001042858,0.0006540068,0.989843,0.00003718876,0.003862029,0.000003095792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784701,0.002690846,0.01594451,0.00009785819,0.00003255781,0.00003601842,0.0007159137,0.0002792773,0.001732916],"genre_scores_gemma":[0.9707254,0.0009294195,0.01988965,0.00008052608,0.00001041738,0.00002939212,0.003125094,0.00005011655,0.005159969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008342111,"threshold_uncertainty_score":0.002790689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165020137854078,"score_gpt":0.2429903166244251,"score_spread":0.2264883028390172,"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."}}