{"id":"W2572152819","doi":"10.1002/anie.201610778","title":"Solubilization of Membrane Proteins into Functional Lipid‐Bilayer Nanodiscs Using a Diisobutylene/Maleic Acid Copolymer","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":287,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Technische Universität Kaiserslautern","keywords":"Maleic acid; Copolymer; Nanodisc; Chemistry; Bilayer; Lipid bilayer; Membrane; Amphiphile; Micelle; Model lipid bilayer; Membrane protein; Polymer chemistry; Biophysics; Polymer; Organic chemistry; Biochemistry; Lipid bilayer phase behavior; Aqueous solution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177566,0.000184727,0.0001603741,0.00006750864,0.0002375412,0.0000651043,0.0003152451,0.000196375,0.0003013527],"category_scores_gemma":[0.0001691252,0.0001753354,0.0001401342,0.00003755784,0.0001738929,0.00006035696,0.0001488978,0.0000936267,0.000005180564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004642373,"about_ca_system_score_gemma":0.000107743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009281995,"about_ca_topic_score_gemma":0.00005079676,"domain_scores_codex":[0.9988126,0.00001728503,0.0002905486,0.0003562281,0.0003581223,0.0001652628],"domain_scores_gemma":[0.998818,0.000006660402,0.0003524231,0.0004013589,0.0003554736,0.00006611114],"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":[0.0001463163,0.00008861645,0.001971725,0.00003913285,0.00007156544,0.000001482866,0.00003985958,0.00002788698,0.9963835,0.00006562583,0.0006750594,0.0004892399],"study_design_scores_gemma":[0.0007909103,0.0000654545,0.002255739,0.00005363679,0.00005298893,0.00002313633,0.00003077553,0.00005438241,0.9920196,0.00006443755,0.004395975,0.0001929639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860486,0.00008182215,0.008351075,0.0003972681,0.002870226,0.0002571692,0.0001686796,0.00001920792,0.001805923],"genre_scores_gemma":[0.9935609,0.00006350363,0.0007266289,0.0001144405,0.003515371,0.000042303,0.001327144,0.00002636282,0.0006233738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007624445,"threshold_uncertainty_score":0.7149971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155616118664054,"score_gpt":0.2805828262481208,"score_spread":0.2590266650614802,"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."}}