{"id":"W4366822534","doi":"10.1021/acs.jpclett.3c00258","title":"Getting Smaller by Denaturation: Acid-Induced Compaction of Antibodies","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; National Institute of Advanced Industrial Science and Technology","keywords":"Denaturation (fissile materials); Compaction; Chemistry; Process (computing); Biophysics; Antibody; Materials science; Computer science; Biology; Composite material; Immunology; Nuclear chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002567997,0.00007710778,0.0001186058,0.000008958594,0.00005463458,0.000008350084,0.0001813679,0.00004052525,0.000004406719],"category_scores_gemma":[0.0001014242,0.00005390495,0.0001004037,0.00008557941,0.00007534296,0.000006343634,0.00003107525,0.0001482259,0.000002035855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157137,"about_ca_system_score_gemma":0.00002115123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001679577,"about_ca_topic_score_gemma":1.473446e-7,"domain_scores_codex":[0.999405,0.00005326088,0.0002007294,0.00007610555,0.0001652565,0.00009970996],"domain_scores_gemma":[0.9994259,0.00003097739,0.0002430053,0.0001685181,0.00009580053,0.00003574698],"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":[0.0000584054,0.00003276138,0.00007309184,0.0000247626,0.00003968906,4.684705e-7,0.0001004857,0.0001107995,0.9964771,0.000001342171,0.002803961,0.0002770918],"study_design_scores_gemma":[0.0001827261,0.00002877639,0.001507392,0.00001047832,0.00001648957,0.000007108094,0.0001155297,0.0002273139,0.9972486,0.00001525432,0.000580713,0.00005954246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965031,0.0001113824,0.000290051,0.002933303,0.00003038355,0.00004008437,0.000005113209,0.000007092976,0.00007948019],"genre_scores_gemma":[0.9994922,0.00002062176,0.00002694497,0.000134106,0.0002764056,9.738204e-7,0.00001797636,0.00000618305,0.00002462995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00298905,"threshold_uncertainty_score":0.219818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324085439777781,"score_gpt":0.2644278549914169,"score_spread":0.251187000593639,"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."}}