{"id":"W4402893929","doi":"10.1093/ve/veae082","title":"Structural models predict a significantly higher binding affinity between the NblA protein of cyanophage Ma-LMM01 and the phycocyanin of <i>Microcystis aeruginosa</i> NIES-298 compared to the host homolog","year":2024,"lang":"en","type":"article","venue":"Virus Evolution","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Mitacs; Phycological Society of America","keywords":"Phycobilisome; Phycocyanin; Microcystis aeruginosa; Biology; Allophycocyanin; Cyanobacteria; Microcystis; Lytic cycle; Anabaena variabilis; Gene; Microbiology; Biochemistry; Virus; Genetics; Bacteria","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":[0.0004190194,0.0001884894,0.0002329077,0.00004995547,0.0002006154,0.00004073291,0.0002738491,0.000143025,0.0000108398],"category_scores_gemma":[0.00003629575,0.00009828004,0.0001117123,0.0002705398,0.0003613679,0.00001423763,0.0001554303,0.0001867477,0.000003179999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003323349,"about_ca_system_score_gemma":0.00007396577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003638978,"about_ca_topic_score_gemma":0.00008769779,"domain_scores_codex":[0.9987172,0.0002297078,0.000319834,0.0003128444,0.0002021252,0.0002182883],"domain_scores_gemma":[0.9992974,0.00007165527,0.0001295218,0.0003805914,0.00007770127,0.00004310778],"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":[0.0003964325,0.000008181224,0.0003951734,0.00006932535,0.0001755322,7.949924e-7,0.00033054,0.0004394196,0.9946451,0.001429578,0.001232039,0.0008778831],"study_design_scores_gemma":[0.001711203,0.0007076763,0.03269508,0.0001471701,0.000339024,0.00003225009,0.0004082526,0.002337765,0.9534584,0.002617663,0.005166413,0.0003790761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991301,0.002383898,0.003925251,0.0004517328,0.0002542606,0.000858622,0.0005554699,0.00002149064,0.0002482728],"genre_scores_gemma":[0.9992279,0.00003421332,0.0001098076,0.00006206484,0.0003115871,0.00005386812,0.00006601711,0.00001767405,0.0001168057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04118668,"threshold_uncertainty_score":0.4007744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256182382256133,"score_gpt":0.22559907460514,"score_spread":0.2130372507825787,"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."}}