{"id":"W4387826005","doi":"10.1016/j.cell.2023.09.017","title":"De novo protein identification in mammalian sperm using in situ cryoelectron tomography and AlphaFold2 docking","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Maze Therapeutics; University of California, San Francisco; Echo Foundation; F. Hoffmann-La Roche; Helen Hay Whitney Foundation; Howard Hughes Medical Institute; National Institutes of Health; Old Dominion University; National Science Foundation","keywords":"Biology; Sperm; Docking (animal); In situ; Computational biology; Genetics","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":[0.0001267115,0.00007413485,0.00006043074,0.0001008737,0.00003569973,0.00001876193,0.00007274878,0.00007361965,0.000001796827],"category_scores_gemma":[0.000005286128,0.00008704913,0.00001993761,0.0003028823,0.00002339718,0.000004433454,0.00003613314,0.00007463121,0.000001678185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002707486,"about_ca_system_score_gemma":0.00002293525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002684006,"about_ca_topic_score_gemma":0.0001125057,"domain_scores_codex":[0.999363,0.00001812133,0.0001264362,0.0002294564,0.00003226098,0.0002307164],"domain_scores_gemma":[0.9997807,0.000002419623,0.00003764588,0.0001421348,0.0000121353,0.00002500122],"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":[0.000007971461,0.00002098834,0.002000754,0.00001449563,9.546525e-7,0.000001981581,0.00003201813,0.00008774395,0.997084,0.00006032872,0.00002233764,0.0006664483],"study_design_scores_gemma":[0.000152955,0.00002855134,0.00332845,0.00001246877,0.000002020409,0.000003747006,0.00002735175,0.000207539,0.9937018,0.0006865454,0.00175268,0.00009590657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923704,0.0002969641,0.006794335,0.00005312526,0.000005901153,0.0002614089,0.000002213177,0.00002019311,0.000195447],"genre_scores_gemma":[0.9973427,0.0001200749,0.002127635,0.00003418594,0.00002455186,0.00006292801,0.00004573243,0.00001455069,0.0002276402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004972288,"threshold_uncertainty_score":0.3549761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008438222053048474,"score_gpt":0.2989885362753779,"score_spread":0.2905503142223295,"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."}}