{"id":"W2343242756","doi":"10.1038/srep24952","title":"Pronounced peptide selectivity for melanoma through tryptophan end-tagging","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Nanyang Technological University; Lee Kong Chian School of Medicine, Nanyang Technological University; Knut och Alice Wallenbergs Stiftelse; International Union of Biochemistry and Molecular Biology","keywords":"Tryptophan; Peptide; Computational biology; Selectivity; Melanoma; Chemistry; Computer science; Biochemistry; Biology; Cancer research; Amino acid","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938677,0.0002673505,0.0001780961,0.00008186505,0.00008939255,0.0002444022,0.0001370633,0.0002274908,0.000548087],"category_scores_gemma":[0.0001796722,0.0001137825,0.0001496134,0.00007290688,0.0001445873,0.0002029918,0.0001888837,0.000276633,0.0002767766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231147,"about_ca_system_score_gemma":0.0001144329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002742132,"about_ca_topic_score_gemma":0.0004021215,"domain_scores_codex":[0.9998701,0.00002979271,0.00001319208,0.0000366978,0.00002474934,0.00002539196],"domain_scores_gemma":[0.9998549,0.00004502828,0.00003733662,0.00001734055,0.00002736351,0.0000179574],"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":[0.00001333679,0.000001613973,0.00002600918,0.000004956857,4.884554e-7,0.00001005157,0.000002828461,0.000008989964,0.9997895,0.000009433089,0.000001719819,0.0001310957],"study_design_scores_gemma":[0.000001389745,0.0000504991,0.0003771962,7.20678e-7,0.000002295063,0.00007323099,0.000003397592,0.0001742434,0.9991123,0.000004176367,0.000199461,0.000001056802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948933,0.0002928507,0.003832872,0.0000204127,0.000006706136,0.00002407915,0.00006377337,0.00003764046,0.0008283497],"genre_scores_gemma":[0.9954321,0.0002634036,0.003167671,0.00002261148,0.000002200597,0.00001397089,0.00009403256,0.00001843205,0.0009854918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000548087,"threshold_uncertainty_score":0.001833558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152672234292164,"score_gpt":0.2595880465756966,"score_spread":0.2443208231464802,"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."}}