{"id":"W2047861227","doi":"10.1073/pnas.0712064105","title":"Molecular basis for LDL receptor recognition by PCSK9","year":2008,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":414,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; University of Chicago; Canadian Institutes of Health Research; Welch Foundation; Howard Hughes Medical Institute; Argonne National Laboratory; Foundation for the National Institutes of Health","keywords":"Kexin; PCSK9; LDL receptor; Proprotein convertase; Subtilisin; C2 domain; EGF-like domain; Receptor; Epidermal growth factor; Chemistry; Binding domain; Binding site; Biochemistry; Cell biology; Biology; Lipoprotein; Cholesterol; 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":[0.00007452879,0.0002945031,0.000226788,0.0001281176,0.000335871,0.0003927711,0.0004923562,0.0004596548,0.001695805],"category_scores_gemma":[0.0001215162,0.0001604494,0.0002983055,0.00006858513,0.0002872487,0.0001466932,0.0002189225,0.0005428163,0.001283267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009395374,"about_ca_system_score_gemma":0.0004536624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625709,"about_ca_topic_score_gemma":0.0006891724,"domain_scores_codex":[0.9998869,0.00001181617,0.000008690908,0.00002463689,0.00003957554,0.00002839336],"domain_scores_gemma":[0.9999092,0.000009055734,0.00002412351,0.000009202228,0.00001481339,0.00003374218],"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":[0.0004190946,0.00009428775,0.001700635,0.00006814368,0.00001712153,0.0009838525,0.00003080926,0.0007634581,0.9882423,0.003979677,0.0006196901,0.003081104],"study_design_scores_gemma":[0.0001949361,0.0002688079,0.01486863,0.00002284529,0.00003780648,0.002147486,0.0000925733,0.0124405,0.9537192,0.001965271,0.01421834,0.00002343717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841923,0.002134276,0.005272914,0.001061757,0.0001874846,0.00005195694,0.0004705067,0.0001941142,0.006434856],"genre_scores_gemma":[0.9931676,0.0005911543,0.002146011,0.0001163344,0.00003163923,0.00001675801,0.000625471,0.00001359971,0.003291509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001695805,"threshold_uncertainty_score":0.006816804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316344642461898,"score_gpt":0.3039674863607629,"score_spread":0.2508040399361439,"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."}}