{"id":"W2852385583","doi":"10.1371/journal.pcbi.1006303","title":"Paxillin phosphorylation at serine 273 and its effects on Rac, Rho and adhesion dynamics","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Paxillin; Focal adhesion; Cell biology; Phosphorylation; Cell adhesion; Cytoskeleton; Serine; GTPase; PAK1; Chemistry; Adhesion; Biology; Biochemistry; Cell","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":[0.00005941069,0.0003604443,0.0001712337,0.0001784055,0.000145189,0.0003698275,0.0001975441,0.0002885253,0.0009484071],"category_scores_gemma":[0.0001589951,0.0001442076,0.000415715,0.0001463826,0.0003418602,0.0003214767,0.0002459724,0.0003079996,0.0001120118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004830548,"about_ca_system_score_gemma":0.0003329996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422608,"about_ca_topic_score_gemma":0.001130219,"domain_scores_codex":[0.9999539,0.00000679757,0.000002025693,0.00001282984,0.0000117197,0.00001282734],"domain_scores_gemma":[0.9999615,0.00001348768,0.00001274532,0.000003638467,0.000002864783,0.000005758897],"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":[0.0003022327,0.0001284646,0.002618504,0.000206862,0.00006342003,0.0006694528,0.0001010183,0.2731219,0.6448109,0.06378834,0.0003089587,0.01388004],"study_design_scores_gemma":[0.00003782874,0.0002110342,0.007770931,0.00001823757,0.00004781107,0.0003215719,0.00006842647,0.8915895,0.082482,0.01486343,0.002546006,0.00004334779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248354,0.002446719,0.05309332,0.0005170901,0.00003178773,0.00003201016,0.0002233224,0.0000897428,0.01873059],"genre_scores_gemma":[0.9959762,0.0006772995,0.001331092,0.00001596114,0.000005830443,0.00001470327,0.00003996082,0.000005142904,0.001933835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002422608,"threshold_uncertainty_score":0.004817069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008087203237911733,"score_gpt":0.240539991916904,"score_spread":0.2324527886789923,"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."}}