{"id":"W2749170406","doi":"10.1016/j.jmb.2017.08.005","title":"Hsp90 Sensitivity to ADP Reveals Hidden Regulation Mechanisms","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Biological and Environmental Research; Basic Energy Sciences; National Institute of Biomedical Imaging and Bioengineering; Lawrence Berkeley National Laboratory; Laboratory of Algorithms and Technologies for Networks Analysis; National Institute of General Medical Sciences; National Institutes of Health; Canadian Light Source; U.S. Department of Energy","keywords":"Hsp90; Cytosol; Nucleotide; Biochemistry; ATPase; Förster resonance energy transfer; Chaperone (clinical); Biology; Proteostasis; ATP–ADP translocase; Chemistry; Heat shock protein; Enzyme; Mitochondrion; Gene; Fluorescence","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":[0.0001866752,0.0002845893,0.0003972928,0.0001369296,0.0001612778,0.001085234,0.0003487053,0.0003729709,0.001351338],"category_scores_gemma":[0.0002619759,0.0002302521,0.0002678598,0.0001583909,0.000379555,0.000822066,0.0004616816,0.0007665897,0.0005665148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357406,"about_ca_system_score_gemma":0.00009882085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558771,"about_ca_topic_score_gemma":0.0001627704,"domain_scores_codex":[0.999856,0.00001135314,0.00001105924,0.00004380332,0.00003994561,0.00003782703],"domain_scores_gemma":[0.9998102,0.00003415055,0.0000385471,0.00006337699,0.00002078177,0.00003315355],"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":[0.0002700321,0.00003026445,0.001088893,0.00004036266,0.00001498856,0.0001056906,0.00003709178,0.0003655481,0.9907664,0.001812181,0.0001171881,0.005351345],"study_design_scores_gemma":[0.0000240961,0.0002528394,0.04298775,0.00001504833,0.00004130481,0.0008167244,0.0001321389,0.01248941,0.9361797,0.004968293,0.002055333,0.00003741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911616,0.001033859,0.005348498,0.0002842908,0.00004032661,0.000008566182,0.0002359997,0.0002032099,0.001683675],"genre_scores_gemma":[0.9988005,0.0002715559,0.0002676591,0.00003499931,0.0000119581,0.000003391317,0.0001246989,0.00001414187,0.000471202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001351338,"threshold_uncertainty_score":0.004520655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824079144921341,"score_gpt":0.3365885537445479,"score_spread":0.3183477622953345,"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."}}