{"id":"W2792534550","doi":"10.1101/262477","title":"Zinc(II) binding on human wild-type ISCU and Met140 variants modulates Fe-S complex activity","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico; Fundação de Amparo à Pesquisa do Estado de São Paulo; European Federation of Pharmaceutical Industries and Associations; Novartis Pharma; Wellcome Trust; University of Oxford; Ontario Ministry of Economic Development and Innovation; Genome Canada; Pfizer","keywords":"Frataxin; Chemistry; Biochemistry; Allosteric regulation; Recombinant DNA; Cell biology; Scaffold protein; Molecular biology; Biology; Iron-binding proteins; Signal transduction; Receptor; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001475147,0.0001929786,0.0002044455,0.0001207878,0.0001041319,0.000205545,0.0002692935,0.0002188324,0.001237131],"category_scores_gemma":[0.0002136222,0.00009711966,0.0001367162,0.0001749014,0.0001767333,0.00006300073,0.0001312332,0.0002307926,0.0002516537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868672,"about_ca_system_score_gemma":0.0001169314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041293,"about_ca_topic_score_gemma":0.00172042,"domain_scores_codex":[0.9998203,0.00003869913,0.00002024203,0.00003618319,0.00004957267,0.00003501912],"domain_scores_gemma":[0.9999045,0.00002114161,0.00002492379,0.000008359817,0.00001489466,0.0000261912],"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":[0.0002752373,0.00003554812,0.0004353989,0.00001983067,0.000008589373,0.00004452401,0.00001996803,0.00008088727,0.9984637,0.00004167092,0.00005763199,0.0005170167],"study_design_scores_gemma":[0.00002716599,0.0002428543,0.007692839,0.000005572965,0.0000150808,0.0002057244,0.00004575646,0.001326194,0.9889386,0.00002158486,0.001472099,0.000006655771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999161,0.0001645058,0.0002464055,0.0000194422,0.000005432589,0.000005627442,0.00014991,0.00001518248,0.0002325588],"genre_scores_gemma":[0.9986235,0.00007454747,0.0003594526,0.0000124206,0.000002393734,0.00000674282,0.0004038801,0.000009960757,0.0005071391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002041293,"threshold_uncertainty_score":0.004138589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04546754480912481,"score_gpt":0.2606568771027236,"score_spread":0.2151893322935988,"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."}}