{"id":"W2338762894","doi":"10.1093/database/baw007","title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein–protein interactions","year":2016,"lang":"en","type":"article","venue":"Database","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Agence Nationale de la Recherche","keywords":"Protein Data Bank; Protein Data Bank (RCSB PDB); Database; Protein structure database; Protein–protein interaction; Planarity testing; Computer science; Protein structure; Protein ligand; Affinities; Interface (matter); Small molecule; Computational biology; Chemistry; Data mining; Information retrieval; Crystallography; Biology; Molecule; Stereochemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001173763,0.0001598215,0.0001742809,0.00009704643,0.00003868962,0.000006601641,0.0002395643,0.00006620906,0.0000937282],"category_scores_gemma":[0.0002063495,0.0001179913,0.00005933509,0.0001730621,0.00008204631,0.00002798457,0.0003027164,0.00006218097,0.00001066914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001380318,"about_ca_system_score_gemma":0.00007148262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107564,"about_ca_topic_score_gemma":0.0001144945,"domain_scores_codex":[0.9988897,0.00005931171,0.0003473546,0.0003450525,0.0001665242,0.0001919868],"domain_scores_gemma":[0.9987378,0.000007860026,0.0002103983,0.0007841521,0.0001494717,0.0001103895],"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":[0.0002710163,0.00002390658,0.0006576778,0.00005061478,0.00003435437,0.00000242385,0.00001123922,0.00001022139,0.9905009,0.0003407265,0.0001736621,0.007923267],"study_design_scores_gemma":[0.000680785,0.0001776903,0.003010899,0.0001678215,0.00002214214,0.00001284969,0.00001166323,0.00020988,0.9899404,0.0001794424,0.005373592,0.0002128508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305257,0.00007192743,0.06478913,0.0001778815,0.00007571129,0.0005387596,0.003768292,0.00001261325,0.00003996945],"genre_scores_gemma":[0.9851537,0.000008966917,0.01168992,0.00007238166,0.0000784533,0.00005187772,0.002786489,0.00002003787,0.0001381798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05462798,"threshold_uncertainty_score":0.4811544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009674534010869559,"score_gpt":0.2678753414436307,"score_spread":0.2582008074327611,"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."}}