{"id":"W2419033528","doi":"10.1007/978-1-4939-2343-4_23","title":"Molecular Dynamics Simulations of Membrane- and Protein-Bound Glycolipids Using GLYCAM","year":2015,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Molecular dynamics; Glycolipid; Suite; Force field (fiction); Dynamics (music); Chemistry; Computer science; Set (abstract data type); Lipid bilayer; Biological system; Membrane; Biophysics; Computational chemistry; Physics; Biology; Artificial intelligence; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003546342,0.0006056697,0.0008766697,0.0003750864,0.001242413,0.0008765566,0.001506456,0.001150843,0.003975038],"category_scores_gemma":[0.00130865,0.0004434646,0.0006542637,0.0006826788,0.00087516,0.0009290374,0.000730076,0.0016691,0.0002520009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105664,"about_ca_system_score_gemma":0.001625976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174691,"about_ca_topic_score_gemma":0.009786763,"domain_scores_codex":[0.9998158,0.00004117126,0.000005955451,0.00002385891,0.0000425209,0.00007071151],"domain_scores_gemma":[0.9994228,0.0002988677,0.0000370691,0.00004135534,0.00008749351,0.0001125159],"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":[0.0004054062,0.0002368126,0.002095624,0.00009611195,0.00008330165,0.0001885023,0.0001869528,0.9742593,0.006236269,0.01294566,0.0007433224,0.002522815],"study_design_scores_gemma":[0.0000802767,0.00004191852,0.0003016122,0.00000596677,0.000008108223,0.00000625091,0.00003256362,0.9972513,0.001080518,0.0009138889,0.0002685211,0.000008964635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9800811,0.0001864434,0.009515986,0.0005377301,0.00009986148,0.00005309412,0.0003744043,0.0001309636,0.009020369],"genre_scores_gemma":[0.989166,0.000146333,0.008538352,0.0001480917,0.0000214726,0.0001375885,0.0004407223,0.00009382075,0.001307763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0174691,"threshold_uncertainty_score":0.03473485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822768373863968,"score_gpt":0.381908248133577,"score_spread":0.3536805643949373,"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."}}