{"id":"W4411164077","doi":"10.1021/acs.molpharmaceut.5c00214","title":"In Vitro and In Vivo Study of Novel PSMA-Targeted Radioligands: Enhancing Tumor Uptake and Therapeutic Efficacy through Zwitterionization and Albumin-Binding Strategies","year":2025,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Southwest Medical University; National Natural Science Foundation of China","keywords":"Biodistribution; Radioligand; Chemistry; In vivo; Pharmacokinetics; In vitro; Pharmacology; Prostate cancer; Ligand (biochemistry); Spect imaging; Cancer research; Nuclear medicine; Medicine; Cancer; Biochemistry; Receptor; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001801192,0.0001827354,0.0003312214,0.000123406,0.00005900116,0.00003418819,0.0000574828,0.00006442614,0.000005630845],"category_scores_gemma":[0.0000378495,0.000183757,0.00002044366,0.0004730903,0.0001134648,0.00007953809,0.00005261014,0.0002627472,1.250848e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000413956,"about_ca_system_score_gemma":0.00006199996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001547579,"about_ca_topic_score_gemma":0.00000349949,"domain_scores_codex":[0.998898,0.00003945378,0.0003976082,0.0003253741,0.0001290673,0.0002104463],"domain_scores_gemma":[0.9995779,0.00008896208,0.00007282009,0.0001492724,0.00003763885,0.00007340476],"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":[0.0002544512,0.0005946188,0.001849009,0.0002973573,0.00007031063,0.00004024291,0.001315526,0.0001107676,0.9946813,0.0001219695,0.000001910918,0.0006625529],"study_design_scores_gemma":[0.006868369,0.00005671213,0.003531002,0.0001294987,0.0002071326,0.00004451893,0.001959976,0.009499568,0.9771824,0.00007475177,0.0003006314,0.0001454535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950212,0.002063635,0.001495329,0.0004304597,0.00002864748,0.000756437,0.000006794785,0.00001879665,0.0001786682],"genre_scores_gemma":[0.9984411,0.0002245939,0.00066854,0.0005669544,0.00001546925,0.00003648868,0.000005619097,0.00001661277,0.00002459401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0174989,"threshold_uncertainty_score":0.7493394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899334349651702,"score_gpt":0.3558144898896723,"score_spread":0.3268211463931553,"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."}}