Detection of Noncovalent Protein-Ligand Complexes of D-DT Variants by MALDI-TOF Mass Spectrometry.

Andrew Parkins, Georgios Pantouris, Andreas H Franz

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Andrew ParkinsDepartment of Chemistry, University of the Pacific, Stockton, CA, 95211, USA.

Georgios PantourisDepartment of Chemistry, University of the Pacific, Stockton, CA, 95211, USA.

Andreas H FranzDepartment of Chemistry, University of the Pacific, Stockton, CA, 95211, USA. afranz@pacific.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS) is the analytical technique of choice when information about molecular mass and structural characteristics of minute sample quantities are desired. Here, we report a generally applicable, robust, and fast method for sample preparation and matrix-assisted laser desorption/ionization (MALDI)-time-of-flight (TOF) analysis of D-dopachrome tautomerase (D-DT or MIF-2) in the presence of a small molecule ligand. We show that noncovalent protein-ligand complexes can be detected. Our method will allow researchers to quickly screen large libraries of ligands against a given protein target and should be considered a supplement to other detection techniques for noncovalent protein-ligand complexes.

Indexed as

Intramolecular OxidoreductasesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationLigandsLipocalinsProtein BindingIntramolecular OxidoreductasesLigandsLipocalinsprostaglandin R2 D-isomeraseD-DTMALDI-TOFMass spectrometryNoncovalent interactionsProtein–ligand complexSmall molecule

Identifiers

PMID42129112

DOI10.1016/j.xpro.2023.102375

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.