{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005096475,0.0004684486,0.0007426784,0.00008818182,0.0001706544,0.00006514973,0.0001814097,0.0003427821,0.0000852347],"category_scores_gemma":[0.000454014,0.0004189731,0.0001392987,0.0003933927,0.0003657452,0.0001858445,0.00002564257,0.0003160716,0.000001435307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007925488,"about_ca_system_score_gemma":0.0002617873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005826857,"about_ca_topic_score_gemma":3.508556e-7,"domain_scores_codex":[0.9974085,0.0001052664,0.000975002,0.0007201363,0.0003145002,0.0004766059],"domain_scores_gemma":[0.9979313,0.000407529,0.0004330295,0.0005591696,0.0002085934,0.000460394],"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":[0.002535845,0.0006652839,0.0001238699,0.0008492313,0.0001442804,0.000007643133,0.0001429248,0.0007024727,0.9918576,0.000007806507,0.00005407452,0.002908969],"study_design_scores_gemma":[0.004669568,0.0001682024,0.0004839057,0.0002220249,0.0003404965,0.00002952704,0.0001443562,0.1635767,0.8297404,0.00001254213,0.0003027425,0.0003095456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932885,0.0004226966,0.00387809,0.0004712642,0.00001192858,0.001305327,0.0003227265,0.0001493679,0.0001500557],"genre_scores_gemma":[0.9970771,0.0001545941,0.001433154,0.0002032124,0.0001160587,0.0002404589,0.0006603373,0.00006378558,0.00005127007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1628742,"threshold_uncertainty_score":0.9998262,"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."}}