{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798026,0.0004725785,0.000545632,0.0002590629,0.0003493428,0.0006673399,0.0004164706,0.000632936,0.0008235552],"category_scores_gemma":[0.0002627393,0.0002822385,0.0005233862,0.000257243,0.0001802876,0.0003122607,0.0001642628,0.0003733182,0.0001806605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434206,"about_ca_system_score_gemma":0.0006264885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002820556,"about_ca_topic_score_gemma":0.002416593,"domain_scores_codex":[0.9999385,0.00001483531,0.000002216783,0.000008644922,0.00002069844,0.0000149761],"domain_scores_gemma":[0.9999496,0.00002572892,0.000005523159,0.000002312094,0.000009430497,0.000007452742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000189135,0.0001129807,0.001916978,0.0001266422,0.00004495354,0.0003867807,0.00007645782,0.9173252,0.06656988,0.00567455,0.0003015438,0.007274817],"study_design_scores_gemma":[0.00001492503,0.00002970298,0.0001648708,0.000002175668,0.000006365846,0.00002573731,0.00001634157,0.9941777,0.00478164,0.0005435072,0.0002320114,0.000004895618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080071,0.0004706387,0.08635618,0.0001816404,0.00001955394,0.00008409288,0.0001617636,0.0002404801,0.004478487],"genre_scores_gemma":[0.9459459,0.0005623187,0.0509613,0.00004138876,0.000005591215,0.0001780373,0.0002378284,0.00003990961,0.002027778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002820556,"threshold_uncertainty_score":0.005608261,"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."}}