{"id":"W1986740601","doi":"10.2174/156802609789207109","title":"Steroid Hormone Binding Receptors: Application of Homology Modeling, Induced Fit Docking, and Molecular Dynamics to Study Structure- Function Relationships","year":2009,"lang":"en","type":"review","venue":"Current Topics in Medicinal Chemistry","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Docking (animal); Homology modeling; Computational biology; Receptor; Nuclear receptor; Transcription factor; Steroid hormone; Binding site; Homology (biology); Steroid; Gene; Chemistry; Biology; Ligand (biochemistry); Hormone; Biochemistry; Medicine; Enzyme","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":[0.0005255648,0.0009726597,0.002064837,0.0007643692,0.0001977548,0.0007170188,0.001441933,0.0008352841,0.001417613],"category_scores_gemma":[0.0005272308,0.0003662364,0.0005948911,0.001739723,0.000465874,0.0008568391,0.0004952847,0.0009777206,0.001461308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006348187,"about_ca_system_score_gemma":0.0005162669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912675,"about_ca_topic_score_gemma":0.001283621,"domain_scores_codex":[0.9998025,0.00005005373,0.000009857555,0.00003748465,0.00008765238,0.00001246261],"domain_scores_gemma":[0.9998645,0.00006833318,0.00001733806,0.00001288423,0.00002770828,0.000009377939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001514361,0.0001707009,0.0006000786,0.00444093,0.0003489522,0.0003468261,0.0001012101,0.137052,0.01728711,0.03810462,0.01034569,0.7910505],"study_design_scores_gemma":[0.0002375049,0.0005564844,0.001762233,0.0009698461,0.0002984957,0.001960453,0.0001650934,0.4193529,0.03093985,0.05495286,0.4885908,0.0002135111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01140942,0.7430426,0.2286118,0.0009202498,0.0004059477,0.00009622233,0.0002645418,0.001111598,0.01413772],"genre_scores_gemma":[0.08729074,0.7757511,0.1288386,0.0002673057,0.0002453861,0.0002532388,0.0006785261,0.0001670943,0.006507982],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002064837,"threshold_uncertainty_score":0.004742384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563073757727354,"score_gpt":0.3347193666008367,"score_spread":0.2990886290235632,"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."}}