{"id":"W2990824525","doi":"10.1016/j.str.2019.11.005","title":"Lipid Interactions of a Ciliary Membrane TRP Channel: Simulation and Structural Studies of Polycystin-2","year":2019,"lang":"en","type":"article","venue":"Structure","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Engineering and Physical Sciences Research Council; Medical Research Council; Janssen Biotech; Innovative Medicines Initiative; Ontario Ministry of Economic Development and Innovation; UCB; Wellcome Trust; Janssen Pharmaceuticals; Merck KGaA; AbbVie; Merck; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; Canada Foundation for Innovation; Novartis; Takeda Pharmaceuticals U.S.A.; Pfizer; Biotechnology and Biological Sciences Research Council; Boehringer Ingelheim","keywords":"Transient receptor potential channel; Biophysics; Chemistry; Ion channel; Transmembrane domain; TRPC1; TRPV; POPC; Binding site; Cell biology; Membrane; Biochemistry; TRPV1; Lipid bilayer; Receptor; Biology","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":[0.0002174957,0.0004443537,0.0006013254,0.0002983009,0.001116193,0.00050718,0.0009772778,0.0009870012,0.002452553],"category_scores_gemma":[0.0004962899,0.0002845768,0.0005788333,0.0003316139,0.0007145964,0.0006801793,0.0003818621,0.0009573623,0.000152867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262195,"about_ca_system_score_gemma":0.001445697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244462,"about_ca_topic_score_gemma":0.01289205,"domain_scores_codex":[0.9998589,0.00001765802,0.000005148203,0.00001774592,0.00003682894,0.00006380953],"domain_scores_gemma":[0.9997407,0.00009253974,0.00003105116,0.00001846898,0.00004546908,0.00007166715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001044289,0.001061203,0.0152377,0.0002293054,0.0002623892,0.001933321,0.000578288,0.9003269,0.06524811,0.007698564,0.002015172,0.004364717],"study_design_scores_gemma":[0.0001382991,0.0001737553,0.004364738,0.00001249445,0.00003052746,0.00006271696,0.0001787846,0.9906515,0.003336383,0.0006824606,0.0003475928,0.00002077774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971375,0.00007872937,0.0006100976,0.0001661537,0.00001252765,0.00001074378,0.000126094,0.00003432213,0.001823869],"genre_scores_gemma":[0.9988357,0.00006891718,0.0005838529,0.00004063962,0.000005266594,0.00001325841,0.0002027978,0.0000144725,0.0002350623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02244462,"threshold_uncertainty_score":0.0446279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094468908824069,"score_gpt":0.2932897594091665,"score_spread":0.2823450703209258,"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."}}