{"id":"W2420821445","doi":"10.1021/acs.biomac.5b00955","title":"Specific Adsorption via Peptide Tags: Oriented Grafting and Release of Growth Factors for Tissue Engineering","year":2015,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Adsorption; Amphiphile; Peptide; Tissue engineering; Allylamine; Chemistry; Polystyrene; Combinatorial chemistry; Protein adsorption; Nanotechnology; Biophysics; Materials science; Biochemistry; Copolymer; Organic chemistry; Polyelectrolyte; Biomedical engineering; Polymer; Biology","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":[0.0002092201,0.0004449524,0.0001347514,0.0001908301,0.00009632462,0.0002283544,0.0001197222,0.0002870976,0.000355451],"category_scores_gemma":[0.0001729094,0.0001187796,0.0001867403,0.0001509358,0.0002100104,0.0002572055,0.0002305654,0.0002848969,0.0002035643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072512,"about_ca_system_score_gemma":0.0001507868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307365,"about_ca_topic_score_gemma":0.0004806316,"domain_scores_codex":[0.9998719,0.00002655989,0.00001236811,0.00002427034,0.00003793746,0.00002694927],"domain_scores_gemma":[0.9999254,0.00001964074,0.00002778334,0.000007365237,0.000007143161,0.0000126384],"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":[0.00001398079,0.000005126337,0.00004375597,0.00002347558,0.000001818135,0.00001604666,0.000006854971,0.00006573305,0.9986019,0.00004610989,0.000009551992,0.00116581],"study_design_scores_gemma":[0.000002855027,0.00006091418,0.0004497409,0.000002770411,0.000005336864,0.00006547372,0.000006267665,0.0005538371,0.9980095,0.00002227081,0.0008175371,0.000003506038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970569,0.004300798,0.02334285,0.00008973452,0.00003324534,0.00007019391,0.0001233923,0.00007974823,0.001391201],"genre_scores_gemma":[0.9842026,0.002093035,0.012422,0.00007216308,0.00001348319,0.00002848203,0.00009700643,0.00001861052,0.001052585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004449524,"threshold_uncertainty_score":0.001503706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941704605688269,"score_gpt":0.2445249874757456,"score_spread":0.2251079414188629,"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."}}