{"id":"W2588464776","doi":"10.1002/bkcs.11096","title":"β1,6‐<scp>GlcNAc</scp> Linkage to the Core Glycan on <scp>TIMP</scp>‐1 Affects Its Gelatinase Inhibitory Activities: Aberrantly Glycosylated <scp>TIMP</scp>‐1‐<scp>MMP2</scp> Complex Modeling Shows Weaker Interaction Compared to Bi‐antennary Glycosylated <scp>TIMP</scp>‐1","year":2017,"lang":"en","type":"article","venue":"Bulletin of the Korean Chemical Society","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"Korea Institute of Science and Technology","keywords":"Glycan; Glycosylation; Chemistry; Matrix metalloproteinase; Gelatinase; MMP2; Biochemistry; Enzyme; Downregulation and upregulation; Gene; Glycoprotein","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":[0.00009108677,0.0004461769,0.0001653711,0.0001075129,0.0001409863,0.0002715613,0.0002950834,0.00024507,0.001099822],"category_scores_gemma":[0.0001538115,0.0001480242,0.0002807838,0.0001444077,0.0001526735,0.0002315349,0.0001407882,0.0004930546,0.0001591976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089074,"about_ca_system_score_gemma":0.0001842657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241046,"about_ca_topic_score_gemma":0.001414787,"domain_scores_codex":[0.9998771,0.00001334323,0.0000063711,0.00002668504,0.00004406363,0.00003247289],"domain_scores_gemma":[0.9999349,0.00000715366,0.00002107582,0.000005266615,0.000009171643,0.00002244276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000167046,0.00004576184,0.0005015104,0.00003452559,0.00001663588,0.0000568576,0.00001455218,0.0009404625,0.9973559,0.00009548098,0.00006075296,0.0007104062],"study_design_scores_gemma":[0.00001379673,0.000282832,0.003711471,0.000004360057,0.00002440881,0.00009782956,0.00002986377,0.01819958,0.9764112,0.00003629359,0.001178622,0.000009685228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984378,0.0002322066,0.000769679,0.00003506594,0.00001001655,0.000005175557,0.00008031505,0.00001812198,0.0004116518],"genre_scores_gemma":[0.9977109,0.000273271,0.0008904965,0.00002004208,0.000001904951,0.000009152981,0.0002517409,0.000009461881,0.0008328688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002241046,"threshold_uncertainty_score":0.004456043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978858427142692,"score_gpt":0.2620709252171001,"score_spread":0.2322823409456732,"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."}}