{"id":"W4410167559","doi":"10.1002/smtd.202500658","title":"Native Taylor/Non‐Taylor Dispersion–Mass Spectrometry (TNT‐MS) Allows Rapid Protein Desalting and Multiplexed, Label‐Free Ligand Screening","year":2025,"lang":"en","type":"article","venue":"Small Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Structural Genomics Consortium; Genentech; Deutsche Krebshilfe; Bundesministerium für Bildung und Forschung; Technische Universität Darmstadt; Ontario Genomics Institute; Hessisches Ministerium für Wissenschaft und Kunst; Fonds der Chemischen Industrie; Ontario Genomics; Genome Canada; Bayer; Alexander von Humboldt-Stiftung; Deutsche Forschungsgemeinschaft; Bristol-Myers Squibb","keywords":"Mass spectrometry; Taylor dispersion; Chemistry; Analyte; Electrospray ionization; Chromatography; Small molecule; Electrospray; Elution; Ligand (biochemistry); Dispersion (optics); Analytical Chemistry (journal); Capillary action; Materials science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00203903,0.0004939222,0.0006293296,0.0004186021,0.0006662977,0.0001710147,0.0007984863,0.0003483625,0.0007840677],"category_scores_gemma":[0.001666128,0.0004836719,0.0001833281,0.001200219,0.0001952774,0.0001425766,0.0005902118,0.001142653,0.00000422325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709042,"about_ca_system_score_gemma":0.00005108066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469923,"about_ca_topic_score_gemma":0.00003313915,"domain_scores_codex":[0.9971077,0.0002869349,0.0006253537,0.0009928306,0.0002787273,0.0007084138],"domain_scores_gemma":[0.9971493,0.001116318,0.0003069523,0.001055563,0.0001493786,0.0002224854],"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":[0.0000654233,0.0001144144,0.001450157,0.0002814343,0.0001564149,0.000009609797,0.0001515282,0.000002706793,0.9115083,0.00694634,0.0001359225,0.07917775],"study_design_scores_gemma":[0.001459832,0.00007910297,0.0004394287,0.0002512937,0.0001079838,0.00001045968,0.0006146625,0.008762336,0.9676279,0.01265373,0.007428084,0.0005651299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1893606,0.001570175,0.7324273,0.001443923,0.00008505101,0.001084243,0.00008439276,0.0007089269,0.07323535],"genre_scores_gemma":[0.1981923,0.00007592839,0.7984794,0.0001351858,0.0001660323,0.0004347495,0.0000256702,0.00006192741,0.002428808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07861262,"threshold_uncertainty_score":0.9997615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993411853757507,"score_gpt":0.3320257871250876,"score_spread":0.3020916685875126,"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."}}