{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001794528,0.002197373,0.001970103,0.0002120425,0.002046988,0.0006441942,0.003908032,0.002061727,0.00004379175],"category_scores_gemma":[0.01009975,0.001824821,0.002129497,0.000719555,0.0007859023,0.0001199766,0.003165642,0.002827944,0.0003577901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005649942,"about_ca_system_score_gemma":0.000478658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004063237,"about_ca_topic_score_gemma":0.00007092445,"domain_scores_codex":[0.9896317,0.0007147675,0.001939399,0.002930888,0.001922216,0.002861021],"domain_scores_gemma":[0.9892839,0.002433631,0.001962618,0.003852964,0.000893483,0.001573474],"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":[0.00007835082,0.0006042948,0.0001106863,0.0002280117,0.0005856164,0.00003221719,0.002050513,0.001263056,0.6618319,0.00003222618,0.3329754,0.000207835],"study_design_scores_gemma":[0.00315967,0.0009323967,0.0001907357,0.0009866178,0.0003822341,0.0001405982,0.004578514,0.02039012,0.8383576,0.0001592367,0.1304253,0.0002970162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840698,0.0009632768,0.001129934,0.001074693,0.001649699,0.00373614,0.001109999,0.0003984242,0.005868027],"genre_scores_gemma":[0.9811571,0.0003305786,0.001619105,0.005312092,0.002256111,0.0004512297,0.0009766519,0.0004833596,0.007413778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.20255,"threshold_uncertainty_score":0.9994726,"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."}}