ReviewMass spectrometry reviews
Mass Spectrometry-Based Proteomics Technologies to Define Endogenous Protein-Protein Interactions and Their Applications to Cancer and Viral Infectious Diseases.
Review in Mass spectrometry reviews. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets.bioRxiv : the preprint server for biology · 2026Article
- Inherent MS-cleavability of diazirine photo-cross-links enables residue-level structural analysis.Nature communications · 2026Article
- Strategies for constructing context-specific protein-protein interaction networks.Briefings in bioinformatics · 2026Review
- TORCH infections at the maternal-fetal placental transmission: an overview of multi-omics, pathogenesis and innate immune defense.Frontiers in cellular and infection microbiology · 2026Review
- ProCaliper: functional and structural analysis, visualization, and annotation of proteins.Bioinformatics advances · 2025Article
- Salivary Proteomics & Gene Expression Analysis: Applications in Orthodontics and Oral Health Care Research-A Pilot Project.Biomarker insights · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
An intricate network of protein assemblies and protein-protein interactions (PPIs) underlies nearly every biological process in living systems. The organization of these cellular networks is highly dynamic and intimately tied to the genomic and proteomic landscapes of a cell. Disruptions in normal PPIs can impair cellular functions and contribute to the development of human diseases. In recent years, targeting PPIs has emerged as an attractive strategy for drug discovery. Consequently, the identification and characterization of endogenous PPIs-those occurring naturally under physiological conditions-has become crucial for unraveling the molecular mechanisms driving human pathology and for laying the groundwork for novel diagnostics and therapeutics. Owing to numerous technological advancements, mass spectrometry (MS)-based proteomics has transformed the study of PPIs at the systems-level. This review focuses on proteomics approaches that enable the characterization of physiologically relevant endogenous interactions, spanning complex-centric to structure-centric analyses. Additionally, their applications to define native PPIs in the contexts of cancer and viral infectious diseases is highlighted.
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Identifiers
What OpenQuestion holds
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.