{"id":"W1519128376","doi":"10.1111/j.1747-0285.2011.01282.x","title":"Identification of New Peptide Ligands for Epidermal Growth Factor Receptor Using Phage Display and Computationally Modeling their Mode of Binding","year":2011,"lang":"en","type":"article","venue":"Chemical Biology & Drug Design","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Norgen Biotek Corporation (Canada)","funders":"Student Research Committee, Tabriz University of Medical Sciences; Tabriz University of Medical Sciences; Iran National Science Foundation","keywords":"Epidermal growth factor; Epidermal growth factor receptor; Biopanning; Phage display; Peptide; TGF alpha; Receptor; Biology; Growth factor receptor inhibitor; A431 cells; Binding site; Peptide library; Chemistry; Biochemistry; Peptide sequence; Cell","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":[0.0002229795,0.0001318538,0.0003628257,0.00009194567,0.00004690863,0.000003684304,0.0001049429,0.0001094959,0.00002254536],"category_scores_gemma":[0.0001725847,0.00009901966,0.00009914642,0.00008608582,0.0001843903,0.00005622076,0.00004792594,0.0001134403,0.000001711294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000216095,"about_ca_system_score_gemma":0.0001045843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008159639,"about_ca_topic_score_gemma":4.306262e-7,"domain_scores_codex":[0.9989709,0.00002884341,0.0004525648,0.0002446332,0.00009496178,0.0002080811],"domain_scores_gemma":[0.9990718,0.0003761892,0.0001514178,0.00009147159,0.0001864212,0.0001227215],"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":[0.0006591988,0.00007003701,0.00329381,0.0001495045,0.00009207574,4.806585e-7,0.0009469006,0.00004832794,0.9932765,0.0004961199,0.00007905451,0.0008880225],"study_design_scores_gemma":[0.0005384985,0.00007541975,0.0002096758,0.00006407582,0.00003644872,0.000008436232,0.00005681828,0.1220734,0.8744689,0.002380218,0.000005745946,0.00008239655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870849,0.0002145745,0.1121098,0.0001340627,0.00003874311,0.0002912487,0.0001009442,0.0000104867,0.00001526444],"genre_scores_gemma":[0.9787753,0.00006364181,0.02079695,0.00003268093,0.00008865159,0.000008134541,0.0001159916,0.00001362536,0.0001050145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1220251,"threshold_uncertainty_score":0.4037904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044043181082282,"score_gpt":0.3421156185552043,"score_spread":0.237711300446976,"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."}}