{"id":"W2144811782","doi":"10.1186/1471-2105-12-225","title":"Binding Site Prediction for Protein-Protein Interactions and Novel Motif Discovery using Re-occurring Polypeptide Sequences","year":2011,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Binding site; Proteome; Computational biology; Protein–protein interaction; Plasma protein binding; Sequence motif; Protein Array Analysis; Binding domain; Biology; Sequence (biology); Bioinformatics; DNA microarray; Genetics; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008818766,0.0009988182,0.0008828242,0.002903375,0.0003311931,0.000507056,0.0008941887,0.0009556632,0.002073312],"category_scores_gemma":[0.002462905,0.0003325352,0.001080266,0.001865565,0.0003109412,0.0006369799,0.0006039473,0.0007730062,0.001513091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003196302,"about_ca_system_score_gemma":0.000588829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324699,"about_ca_topic_score_gemma":0.002483374,"domain_scores_codex":[0.9991608,0.0001361608,0.00007221723,0.0003054636,0.0002671894,0.00005828308],"domain_scores_gemma":[0.9982738,0.0008432909,0.0003570042,0.0001745664,0.000249054,0.0001021879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003135287,0.0008213902,0.203945,0.003808854,0.00127642,0.001900258,0.0003783727,0.09137848,0.3217275,0.002723705,0.02272756,0.3461773],"study_design_scores_gemma":[0.000170767,0.0005302446,0.07591964,0.0001225422,0.0002516951,0.002500209,0.0001690144,0.7957172,0.1043883,0.005683288,0.01444067,0.0001064543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6304873,0.004034202,0.3274712,0.0001977836,0.00008783543,0.0003307053,0.02082009,0.01373754,0.002833339],"genre_scores_gemma":[0.6740135,0.000746237,0.2895978,0.000137204,0.000058056,0.0002727243,0.03376953,0.0003604183,0.001044452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002903375,"threshold_uncertainty_score":0.006935954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587082751055672,"score_gpt":0.2596847144328296,"score_spread":0.2138138869222729,"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."}}