{"id":"W2032416948","doi":"10.1007/s10930-008-9145-0","title":"Model and Molecular Dynamic Simulations of Active and Inactive Endo-β-1,4-Mannanase in Tomato Fruit","year":2008,"lang":"en","type":"article","venue":"The Protein Journal","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Bioorganic chemistry; Active site; Chemistry; Ripening; Enzyme; Amino acid; Molecular dynamics; Biochemistry; Root mean square; Stereochemistry; Food science; Computational chemistry; Physics","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":[0.0002218367,0.0006699329,0.0008050764,0.0006181293,0.001509312,0.001150824,0.001775536,0.002467774,0.01287237],"category_scores_gemma":[0.0007651092,0.0005756154,0.0007658417,0.0006318047,0.001295501,0.0009575009,0.0004091768,0.001192878,0.0005928597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003204732,"about_ca_system_score_gemma":0.001925826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04395521,"about_ca_topic_score_gemma":0.02439695,"domain_scores_codex":[0.9998795,0.00001824675,0.000004102047,0.00002612399,0.00002489775,0.00004716667],"domain_scores_gemma":[0.9996172,0.0001650232,0.00002812859,0.00002400159,0.00005932704,0.0001062233],"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":[0.0001691368,0.0001759327,0.001773578,0.0000435716,0.0000474343,0.0002699826,0.00008992774,0.9895403,0.002575515,0.003568483,0.0009975861,0.0007485033],"study_design_scores_gemma":[0.0001096999,0.00006876522,0.000941304,0.000007623389,0.00001283421,0.00001595326,0.00007212143,0.9970497,0.0005082632,0.0008348408,0.0003631964,0.00001565716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752423,0.0001914164,0.003107977,0.0008280139,0.00006775163,0.00005347689,0.001185636,0.000177879,0.01914547],"genre_scores_gemma":[0.9934089,0.000118304,0.001887115,0.0001264186,0.00001631015,0.00008576844,0.001030901,0.00009348718,0.003232798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04395521,"threshold_uncertainty_score":0.08739871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195382882309694,"score_gpt":0.2158816764709179,"score_spread":0.203927847647821,"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."}}