{"id":"W2471557419","doi":"10.1021/acs.biochem.6b00130","title":"Ligand Binding Enhances Millisecond Conformational Exchange in Xylanase B2 from <i>Streptomyces lividans</i>","year":2016,"lang":"en","type":"article","venue":"Biochemistry","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; PROTEO; Université Laval; University of Ottawa; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; National Institutes of Health; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Chemistry; Molecular dynamics; Ligand (biochemistry); Protein dynamics; Processivity; Biophysics; Stereochemistry; Crystallography; Biochemistry; Computational chemistry; Enzyme; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006140009,0.0001207614,0.00009709225,0.00004417073,0.00002742776,0.00002302216,0.0001059402,0.0001204415,0.0007237737],"category_scores_gemma":[0.00001475824,0.00009326522,0.0000331917,0.00007821812,0.00004413108,0.0001526703,0.00002290295,0.00006831132,0.0001427164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005716086,"about_ca_system_score_gemma":0.0000153356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001544174,"about_ca_topic_score_gemma":0.000004619915,"domain_scores_codex":[0.9993894,0.000004828696,0.0001689655,0.0001711012,0.0001050915,0.0001606877],"domain_scores_gemma":[0.9997223,0.00002919234,0.00003179327,0.0001373528,0.0000162813,0.00006307987],"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":[0.000007140915,0.00001002221,0.001368222,0.0001232373,0.00001100181,0.000002103797,0.00007026141,0.000001078974,0.9904783,7.20095e-7,0.005520534,0.002407333],"study_design_scores_gemma":[0.0003740232,0.000004740441,0.0004415752,0.00009800125,0.000003216553,0.000002383913,0.0001369296,0.00006077515,0.9833201,0.00001464655,0.0153861,0.0001575528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955106,0.001025967,0.00003351331,0.0001906299,0.0003273025,0.00005083344,0.0001960913,0.00008694744,0.002578108],"genre_scores_gemma":[0.9982613,0.0004089258,0.00008451694,0.0000453285,0.0002807461,0.000009279542,0.00008891994,0.000009464208,0.0008114717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009865562,"threshold_uncertainty_score":0.7924815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006849589518506288,"score_gpt":0.1886762883889788,"score_spread":0.1818266988704725,"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."}}