{"id":"W4379184846","doi":"10.1038/s41467-023-38725-w","title":"Structural insights into perilipin 3 membrane association in response to diacylglycerol accumulation","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; National Institutes of Health; National Science Foundation; U.S. Department of Health and Human Services; Government of Canada; Alfred P. Sloan Foundation; Michael Smith Health Research BC","keywords":"Diacylglycerol kinase; Association (psychology); Perilipin; Cell biology; Chemistry; Computational biology; Biology; Biochemistry; Signal transduction; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004791381,0.000112046,0.000122965,0.000199179,0.0001874411,0.00003230842,0.0005723271,0.0003720459,0.000006398191],"category_scores_gemma":[0.001581322,0.000106126,0.00005312777,0.0006229208,0.00002295498,0.00001175483,0.0003478728,0.0002705,0.00005110577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006956224,"about_ca_system_score_gemma":0.00007173884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002443171,"about_ca_topic_score_gemma":0.001444504,"domain_scores_codex":[0.998866,0.0003653883,0.000211525,0.0002219076,0.0001630756,0.0001721504],"domain_scores_gemma":[0.9985579,0.000177373,0.00007418497,0.00101191,0.000117515,0.00006116438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002804919,0.00003079161,0.01458556,0.000006282764,0.000026661,3.346154e-7,0.001139853,0.0001176556,0.978907,0.000133632,0.001888312,0.002883421],"study_design_scores_gemma":[0.0004281674,0.00003424293,0.4730746,0.00001336463,0.00001313152,5.207844e-7,0.0001730537,0.0007812715,0.1181736,0.00005189043,0.4070402,0.0002158753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994619,0.0008898966,0.00000692074,0.003779133,0.0002358962,0.0002300452,0.00001087705,0.00004239592,0.0001858569],"genre_scores_gemma":[0.9970889,0.0002866869,0.001079696,0.0004346689,0.0001508571,0.00005648751,0.0004351688,0.0000162247,0.0004513111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8607334,"threshold_uncertainty_score":0.4327693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948945080039646,"score_gpt":0.3204112533757293,"score_spread":0.3009218025753329,"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."}}