{"id":"W2083267900","doi":"10.1021/bi0494572","title":"Computer Modeling of Polyleucine-Based Coiled Coil Dimers in a Realistic Membrane Environment:  Insight into Helix−Helix Interactions in Membrane Proteins","year":2004,"lang":"en","type":"article","venue":"Biochemistry","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Hydrogen bond; Chemistry; Asparagine; Intramolecular force; Intermolecular force; Helix (gastropod); Crystallography; van der Waals force; Coiled coil; Molecular dynamics; Transmembrane domain; Membrane; Transmembrane protein; Protein structure; Alanine; Membrane protein; Protein folding; Random coil; Folding (DSP implementation); Threonine; Stereochemistry; Molecule; Circular dichroism; Amino acid; Computational chemistry; Biochemistry; Serine; Organic chemistry; Biology","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":[0.0002307851,0.000399679,0.0005848511,0.0002120507,0.0005504164,0.0005454903,0.0007508079,0.001055939,0.001585123],"category_scores_gemma":[0.0005713293,0.0003691058,0.0003906344,0.000239556,0.0004709101,0.0004277878,0.0002527167,0.0005463072,0.0002038219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008539391,"about_ca_system_score_gemma":0.0007994922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005611963,"about_ca_topic_score_gemma":0.003240203,"domain_scores_codex":[0.9999098,0.00003145131,0.00000366145,0.00001356683,0.00001929411,0.00002226944],"domain_scores_gemma":[0.9997799,0.0001136306,0.00002204549,0.00001802596,0.00003361815,0.00003277793],"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":[0.00005273487,0.00003240957,0.000454059,0.00001765518,0.00001223415,0.00006451624,0.00004231458,0.9909219,0.006261092,0.001541089,0.00005824273,0.0005417322],"study_design_scores_gemma":[0.0000104761,0.00001548819,0.0001282222,0.000001315981,0.000002433679,0.000006591978,0.000008982129,0.9988124,0.0006651627,0.0002270551,0.000119298,0.000002669671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544977,0.00013705,0.04024879,0.0001642628,0.00001704866,0.00004431669,0.0002131577,0.0001702611,0.004507315],"genre_scores_gemma":[0.981239,0.0001451341,0.01678718,0.00002988354,0.000007219193,0.00009374125,0.0002391163,0.00006282054,0.001395894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005611963,"threshold_uncertainty_score":0.01115859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008352456883925878,"score_gpt":0.2244993861616591,"score_spread":0.2161469292777332,"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."}}