{"id":"W4402350565","doi":"10.1021/acschembio.4c00485","title":"Protein Visualizer 2.0: Intuitive and Interactive Visualization of Protein Topology and Co/Post-Translational Modifications","year":2024,"lang":"en","type":"letter","venue":"ACS Chemical Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Canada Foundation for Innovation","keywords":"Visualization; Computer science; Topology (electrical circuits); Computational biology; UniProt; Glycosylation; Protein–protein interaction; Protein structure; Bioinformatics; Data mining; Chemistry; Biology; Biochemistry; Mathematics","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":[0.001565969,0.0006205216,0.0004771893,0.0009098519,0.0007986549,0.001588375,0.00128486,0.004361152,0.03519689],"category_scores_gemma":[0.003203849,0.000423965,0.0004335209,0.0005562177,0.0009787766,0.001508633,0.001247389,0.005444034,0.02679378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009086619,"about_ca_system_score_gemma":0.0006064351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006539056,"about_ca_topic_score_gemma":0.0008738484,"domain_scores_codex":[0.9991747,0.0001863786,0.00004798748,0.00009350263,0.0004115925,0.00008577281],"domain_scores_gemma":[0.9985892,0.0005938471,0.0001226876,0.0001657665,0.0003010423,0.0002273141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001250635,0.00002274585,0.0002370402,0.0001984964,0.000009751559,0.001948331,0.00007603012,0.0001831488,0.01055875,0.01007108,0.9350511,0.04151843],"study_design_scores_gemma":[0.00006117803,0.00002912969,0.0002153666,0.0000475831,0.0000052366,0.004320445,0.00002759588,0.002080192,0.005945796,0.008260129,0.9789817,0.00002571517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"software","genre_scores_codex":[0.01296853,0.02637944,0.3198344,0.3546018,0.06517216,0.0007313114,0.007574302,0.04382021,0.1689177],"genre_scores_gemma":[0.1163847,0.03470147,0.288613,0.1323685,0.03598528,0.001997215,0.01297603,0.01115165,0.3658222],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03519689,"threshold_uncertainty_score":0.1177453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657903899295407,"score_gpt":0.3367826147348681,"score_spread":0.320203575741914,"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."}}