{"id":"W2013768168","doi":"10.1093/nar/gkv343","title":"ENCoM server: exploring protein conformational space and the effect of mutations on protein function and stability","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermostability; Biology; Molecular dynamics; Biological system; Web server; Stability (learning theory); Function (biology); Protein stability; Entropy (arrow of time); Normal mode; Computational biology; Protein structure; Conformational entropy; Statistical physics; Sequence space; Computer science; Genetics; Physics; Biochemistry; Mathematics; Thermodynamics; Pure mathematics; The Internet; Molecule; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000631115,0.001638865,0.001511289,0.0007216202,0.000797998,0.001274497,0.00289779,0.0008253177,0.01676394],"category_scores_gemma":[0.001305671,0.000455059,0.0006858851,0.0007780567,0.0002230318,0.001360285,0.0009843234,0.0009355213,0.003856572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008158995,"about_ca_system_score_gemma":0.001487396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005914968,"about_ca_topic_score_gemma":0.008015784,"domain_scores_codex":[0.9997951,0.00003574564,0.00001266255,0.00005796654,0.00006766331,0.00003086888],"domain_scores_gemma":[0.9996074,0.000136227,0.00002690799,0.00006677279,0.0001063404,0.00005646095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002762581,0.001102119,0.01942046,0.002901041,0.0007305026,0.001903379,0.0007240999,0.2179113,0.1161582,0.03747931,0.4100401,0.1888668],"study_design_scores_gemma":[0.0003518684,0.000146048,0.004018115,0.00005949864,0.0000778624,0.0004353168,0.0001099627,0.9135356,0.03559589,0.0095,0.03604029,0.0001295321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.370872,0.001321198,0.3321944,0.0006721194,0.000357578,0.0004994706,0.1418661,0.1237977,0.02841953],"genre_scores_gemma":[0.4533286,0.001130458,0.2863197,0.0003115246,0.000100911,0.001250723,0.2228985,0.01920558,0.01545397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01676394,"threshold_uncertainty_score":0.056081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053490490209776,"score_gpt":0.302576950917822,"score_spread":0.2620420460157242,"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."}}