{"id":"W4408053828","doi":"10.1016/j.cels.2025.101202","title":"Virus targeting as a dominant driver of interfacial evolution in the structurally resolved human-virus protein-protein interaction network","year":2025,"lang":"en","type":"article","venue":"Cell Systems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Biology; Protein–protein interaction; Virus; Context (archaeology); Protein domain; Interaction network; Host (biology); Computational biology; Genetics; Gene","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":[0.0005158706,0.0001510952,0.0001932742,0.0000484255,0.0001160768,0.00004691966,0.000273038,0.0001809402,0.000006637818],"category_scores_gemma":[0.0000229651,0.0001146603,0.00008145883,0.0001332223,0.00005308819,0.000007877414,0.0001146791,0.0001870257,0.000005978756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005446202,"about_ca_system_score_gemma":0.00005161712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541509,"about_ca_topic_score_gemma":0.0002512826,"domain_scores_codex":[0.9987583,0.0001635893,0.0005273402,0.0002023776,0.0001103002,0.0002380797],"domain_scores_gemma":[0.9993373,0.00001096592,0.0002772942,0.0002859381,0.00006597231,0.00002251197],"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":[0.0001639909,0.00002758922,0.0001392023,0.0001385463,0.00002475008,0.000001610041,0.0002863691,0.002084095,0.994265,0.001020292,0.001415427,0.0004331216],"study_design_scores_gemma":[0.003513878,0.00107692,0.00247535,0.001658322,0.00008923934,0.00001998601,0.005722489,0.01198477,0.9020506,0.003049462,0.06742574,0.0009332972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987862,0.001216893,0.006000828,0.00002058741,0.0005079462,0.0009654993,0.000006675997,0.000005625577,0.003413929],"genre_scores_gemma":[0.9986703,0.0000125358,0.0001207639,0.00003203766,0.0003050567,0.00007697488,0.00004919064,0.000009513461,0.0007235684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09221447,"threshold_uncertainty_score":0.4675711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006069413506635495,"score_gpt":0.2365442044021319,"score_spread":0.2304747908954964,"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."}}