{"id":"W4379375451","doi":"10.1002/cbin.12052","title":"In silico <b>induced</b> effect of <i>N‐ε‐</i><b>lysine acetylation</b> on microtubule stability and <i>subsequent</i> interaction of microtubule‐associated proteins","year":2023,"lang":"en","type":"article","venue":"Cell Biology International","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College","funders":"National Research Foundation of Ukraine","keywords":"Acetylation; Microtubule; Tubulin; In silico; Lysine; Biophysics; Chemistry; Molecular dynamics; Biology; Cell biology; Biochemistry; Amino acid; Computational chemistry; Gene","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":[0.0001447318,0.0002526336,0.0002549162,0.0001321419,0.0003222064,0.0002186238,0.0003521167,0.0002684383,0.00163201],"category_scores_gemma":[0.0004021243,0.0001764077,0.0002870311,0.0001815191,0.0002604423,0.0002195212,0.00018378,0.0003342298,0.00009028555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605734,"about_ca_system_score_gemma":0.0004118581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006090157,"about_ca_topic_score_gemma":0.004923344,"domain_scores_codex":[0.9999377,0.00001000844,0.000003453034,0.00001432445,0.00001476735,0.00001979281],"domain_scores_gemma":[0.9998255,0.00007467493,0.00003545448,0.00001917153,0.00002307496,0.00002209695],"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":[0.0005803061,0.000318968,0.008829775,0.0003692941,0.0001273784,0.0004007886,0.000108653,0.7340877,0.245467,0.003277942,0.0006772248,0.005754901],"study_design_scores_gemma":[0.00004615813,0.0002732817,0.005002974,0.0000100231,0.00003638397,0.000034333,0.00003749531,0.9421846,0.0512678,0.0005236673,0.0005660023,0.00001724806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945657,0.00009392706,0.003388307,0.00005939989,0.00001958815,0.00001146298,0.0001525237,0.00007119332,0.001637918],"genre_scores_gemma":[0.997728,0.00007600388,0.001862119,0.00001190031,0.000002060427,0.00001303878,0.0001193928,0.00001926401,0.000168199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006090157,"threshold_uncertainty_score":0.01210946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007919477087396,"score_gpt":0.2651361100313288,"score_spread":0.2550569152604548,"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."}}