{"id":"W2073038002","doi":"10.1021/bc034128s","title":"A New Strategy for the Preparation of Peptide-Targeted Radiopharmaceuticals Based on an Fmoc-Lysine-Derived Single Amino Acid Chelate (SAAC). Automated Solid-Phase Synthesis, NMR Characterization, and in Vitro Screening of fMLF(SAAC)G and fMLF[(SAAC−Re(CO)<sub>3</sub>)<sup>+</sup>]G","year":2003,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Chemistry; Peptide; Lysine; Combinatorial chemistry; Amino acid; Peptide sequence; Chelation; Mass spectrometry; Peptide synthesis; Nuclear magnetic resonance spectroscopy; Glycine; Biochemistry; Stereochemistry; Chromatography; Organic chemistry","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":[0.0002225657,0.0005013024,0.0003285977,0.0002851363,0.0002037381,0.0003215668,0.0004586276,0.0004648824,0.0005439864],"category_scores_gemma":[0.0002447151,0.000217321,0.0002427947,0.0002009478,0.000316852,0.0003251449,0.0002674471,0.0006851132,0.0005481523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552169,"about_ca_system_score_gemma":0.0004601126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005443502,"about_ca_topic_score_gemma":0.0006545809,"domain_scores_codex":[0.9997945,0.00003788359,0.00001634821,0.00004993613,0.00007770338,0.00002356107],"domain_scores_gemma":[0.9998176,0.00003049541,0.00005841111,0.00002843176,0.00003850781,0.00002668126],"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":[0.0000334205,0.00001302897,0.00004625935,0.00006516438,0.000007708435,0.0000297239,0.0000133792,0.0001108788,0.9942052,0.0001721082,0.00009894972,0.005204244],"study_design_scores_gemma":[0.00001734918,0.0001878852,0.0003179566,0.000003236754,0.00001627679,0.0005986856,0.000005035664,0.0006968041,0.9906031,0.00005975078,0.007484477,0.000009297634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6373358,0.01131701,0.3390599,0.0005885744,0.000350401,0.0009003927,0.0007053573,0.002155122,0.007587382],"genre_scores_gemma":[0.703972,0.003496435,0.2835424,0.0004744307,0.00008944601,0.0004207127,0.0008493672,0.0001228945,0.007032398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005443502,"threshold_uncertainty_score":0.002577245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705548726478757,"score_gpt":0.3514577251333513,"score_spread":0.3144022378685637,"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."}}