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Affinity Selection and Mass Spectrometry-Based Strategies to Identify Lead Compounds in Combinatorial Libraries
Abstract
The screening of diverse libraries of small molecules created by combinatorial synthetic methods is a recent development which has the potential to accelerate the identification of lead compounds in drug discovery. We have developed a direct and rapid method to identify lead compounds in libraries involving affinity selection and mass spectrometry. In our strategy, the receptor or target molecule of interest is used to isolate the active components from the library physically, followed by direct structural identification of the active compounds bound to the target molecule by mass spectrometry. In a drug design strategy, structurally diverse libraries can be used for the initial identification of lead compounds. Once lead compounds have been identified, libraries containing compounds chemically similar to the lead compound can be generated and used to optimize the binding characteristics. These strategies have also been adopted for more detailed studies of protein-ligand interactions.
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“An important difference between native MS and affinity MS is that native MS detects ligands directly bound to a protein, whereas affinity MS approaches typically measure ligand binding indirectly as free compounds.”
From Native metabolomics identifies the rivulariapeptolide family of protease inhibitors (2022) · cites this paper as [25]
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Metadata
- Authors
- Kaur, S., McGuire, L., Tang, D., Dollinger, G., & Huebner, V.
- Affiliations
- Biochimie des Protéines Membranaires (FR)
- Venue
- Journal of Protein Chemistry
- Published
- 1997-07
- Volume
- 16
- Issue
- 5
- Pages
- 505-511
- ISSN
- 0277-8033 (ISSN-L)
- 1573-4943
- OpenAlex
- W1226074361
- Cited by
- 95
- References
- 15
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 2 · 2017: 1 · 2016: 2 · 2014: 1 · 2013: 2
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Protein Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- affinity selection, combinatorial libraries, lead compound identification, small molecule library, protein-ligand interactions, receptor binding, drug discovery, library optimization
- MeSH terms
- Binding, Competitive, Chromatography, Affinity, Drug Evaluation, Preclinical, Ligands, Proteins, Receptors, Drug, Mass Spectrometry, Structure-Activity Relationship, Drug Design, Peptide Library
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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