{"id":"W4200156136","doi":"10.1016/j.xpro.2021.100994","title":"Detecting in-solution conformational changes in viral fusogens using tryptophan-induced fluorescence quenching","year":2021,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministry of Training, Colleges and Universities","keywords":"Conformational change; Quenching (fluorescence); Tryptophan; Biophysics; Lipid bilayer fusion; Chemistry; Fluorescence; Fluorescence anisotropy; Viral protein; Fusion; Computational biology; Membrane; Biochemistry; Biology; Virology; Virus; Physics; Amino acid","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006449826,0.0001492596,0.0002887416,0.000274884,0.000144895,0.00004147263,0.00007592836,0.00009246821,0.00008614429],"category_scores_gemma":[0.0009190088,0.0001462269,0.00004483701,0.0004720782,0.00005018457,0.0002366082,0.0001243609,0.0004406297,0.00001353205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474631,"about_ca_system_score_gemma":0.0004823779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184716,"about_ca_topic_score_gemma":0.0009061733,"domain_scores_codex":[0.9982694,0.0001457537,0.000366104,0.0002545052,0.0004723426,0.0004919274],"domain_scores_gemma":[0.9993458,0.00007753827,0.00008971852,0.000194268,0.0002211892,0.00007143843],"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":[0.0003314613,0.0001096231,0.01711724,0.0005119127,0.00002647177,0.0002158794,0.002543797,0.00004251468,0.9642729,0.0001905337,0.000008213757,0.01462949],"study_design_scores_gemma":[0.006142606,0.0004505749,0.07313653,0.002887359,0.00001255368,0.00009185087,0.002032591,0.02188955,0.8915724,0.000320637,0.001063665,0.0003997046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643592,0.00003972583,0.00008420335,0.000292281,0.00003434848,0.03445162,0.000009718925,0.00003837347,0.0006905748],"genre_scores_gemma":[0.9460458,0.000006196455,0.008077217,0.0002750327,0.0001783884,0.04535496,0.000009842652,0.00002213747,0.00003049005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07270049,"threshold_uncertainty_score":0.596296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1617641149646084,"score_gpt":0.4327178314488909,"score_spread":0.2709537164842825,"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."}}