{"id":"W4281992598","doi":"10.1016/j.heliyon.2022.e09629","title":"Bioinformatics analysis of adhesin-binding potential and ADME/Tox profile of anti-Helicobacter pylori peptides derived from wheat germ proteins","year":2022,"lang":"en","type":"article","venue":"Heliyon","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bacterial adhesin; Peptide; Helicobacter pylori; Biochemistry; Allosteric regulation; ADME; Binding site; Chemistry; Docking (animal); Biology; Receptor; Escherichia coli; Genetics; In vitro","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":[0.0005124955,0.0006775877,0.001292416,0.001473814,0.0003764527,0.0009218591,0.0004091296,0.0005422159,0.002106551],"category_scores_gemma":[0.0008861329,0.0001998735,0.001412632,0.00142602,0.0001825731,0.0003223492,0.0002717322,0.0004557655,0.0007260104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992021,"about_ca_system_score_gemma":0.0005072107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396247,"about_ca_topic_score_gemma":0.001845588,"domain_scores_codex":[0.9996759,0.00005120907,0.00002854177,0.00008428025,0.0001136879,0.000046317],"domain_scores_gemma":[0.99964,0.0001474222,0.00007966662,0.00001604018,0.00007681803,0.00003998286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005325662,0.001408223,0.1738496,0.004793405,0.001890886,0.004698339,0.0004580953,0.1387509,0.4787483,0.002613669,0.01435223,0.1731107],"study_design_scores_gemma":[0.0002980598,0.00285829,0.2413394,0.0002066487,0.001842502,0.004518065,0.0004941018,0.6199327,0.1001382,0.002867022,0.02527952,0.0002256243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638233,0.002645805,0.01537139,0.0002810089,0.0000408377,0.0001094129,0.01413757,0.001216869,0.00237391],"genre_scores_gemma":[0.9451494,0.001393801,0.02481874,0.0002254197,0.00002758714,0.0001764187,0.02680202,0.0001836301,0.001223025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002106551,"threshold_uncertainty_score":0.007047117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293663509396042,"score_gpt":0.2816865843587187,"score_spread":0.2587499492647583,"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."}}