{"id":"W4405181241","doi":"10.1158/1538-8514.cancerchem24-a016","title":"Abstract A016: Targeting calpain-1 and calpain-2 for prevention of breast cancer metastasis: In vivo insights and drug discovery approaches","year":2024,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Calpain Protease Function and Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; Queen's University","funders":"","keywords":"Calpain; In silico; Proteases; Cancer research; Metastasis; Small molecule; Peptide; Biology; Cancer cell; Cancer; In vivo; Chemistry; Biochemistry; Enzyme; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000402258,0.0006594675,0.0004946254,0.0003193692,0.0001285883,0.0005831048,0.0004300566,0.0005447158,0.002148869],"category_scores_gemma":[0.0001841831,0.0002004893,0.0005622561,0.0002172265,0.0002062944,0.0002749366,0.0002529761,0.000781292,0.0005853369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368749,"about_ca_system_score_gemma":0.0003587318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005051674,"about_ca_topic_score_gemma":0.0008553214,"domain_scores_codex":[0.9998139,0.00003310754,0.00001361011,0.00003305693,0.00008170886,0.00002466713],"domain_scores_gemma":[0.9999077,0.00001725912,0.0000250739,0.000007743442,0.00001750683,0.00002472336],"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":[0.0001678356,0.0001703146,0.0002003731,0.0001660732,0.00002535754,0.0001023899,0.000007961507,0.0007098407,0.9917858,0.0003017093,0.000351926,0.006010401],"study_design_scores_gemma":[0.0002100415,0.002335392,0.00138037,0.0000310947,0.0001026028,0.0006060979,0.00002333672,0.006459167,0.9736859,0.0002485483,0.01489976,0.00001761593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071125,0.0307155,0.04582962,0.001768897,0.0004074922,0.0007015288,0.002618971,0.0008439302,0.01000164],"genre_scores_gemma":[0.9373691,0.01329852,0.03631242,0.0006227919,0.0000630068,0.0002358438,0.002552097,0.00007303697,0.009473277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002148869,"threshold_uncertainty_score":0.007188678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110762181405774,"score_gpt":0.2726137891838403,"score_spread":0.2515061673697826,"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."}}