ArticleMethods in molecular biology (Clifton, N.J.)2023
Limited Proteolysis-Mass Spectrometry to Identify Metabolite-Protein Interactions.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.Briefings in bioinformatics · 2026Review
- Recent advances in proteomic strategies for target identification of traditional Chinese medicine.Journal of pharmaceutical analysis · 2026Review
- 3D Proteomics: Structural, Functional, Chemical and Biomarker Discovery Proteomics With LiP-MS.Molecular & cellular proteomics : MCP · 2026Review
- Label-Free Target Discovery Strategy for Natural Active Products.Biomolecules · 2026Review
- Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.Journal of medicinal chemistry · 2026Review
- A Hit Prioritization Strategy for Compound Library Screening Using LiP-MS and Molecular Dynamics Simulations Applied to KRas G12D Inhibitors.Analytical chemistry · 2025Article
- Systematic identification of structure-specific protein-protein interactions.Molecular systems biology · 2024Article
- Stability-based approaches in chemoproteomics.Expert reviews in molecular medicine · 2024Review
- Elovanoid-N34 modulates TXNRD1 key in protection against oxidative stress-related diseases.Cell death & disease · 2023Article
- Profiling disease-selective drug targets: From proteomics to ligandomics.Drug discovery today · 2023Review
- The Knowns and Unknowns in Protein-Metabolite Interactions.International journal of molecular sciences · 2023Review
- Mass Spectrometry-Based Proteomics Technologies to Define Endogenous Protein-Protein Interactions and Their Applications to Cancer and Viral Infectious Diseases.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolite-protein interactions regulate diverse cellular processes, prompting the development of methods to investigate the metabolite-protein interactome at a global scale. One such method is our previously developed structural proteomics approach, limited proteolysis-mass spectrometry (LiP-MS), which detects proteome-wide metabolite-protein and drug-protein interactions in native bacterial, yeast, and mammalian systems, and allows identification of binding sites without chemical modification. Here we describe a detailed experimental and analytical workflow for conducting a LiP-MS experiment to detect small molecule-protein interactions, either in a single-dose (LiP-SMap) or a multiple-dose (LiP-Quant) format. LiP-Quant analysis combines the peptide-level resolution of LiP-MS with a machine learning-based framework to prioritize true protein targets of a small molecule of interest. We provide an updated R script for LiP-Quant analysis via a GitHub repository accessible at https://github.com/RolandBruderer/MiMB-LiP-Quant .
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Registered trials
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.