ArticleProtein science : a publication of the Protein Society2026
NuXLApp: Interactive data analysis and visualization for protein-nucleic acid crosslinking mass spectrometry.
Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- NuXLApp: Interactive data analysis and visualization for protein-nucleic acid crosslinking mass spectrometry.Protein science : a publication of the Protein Society · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Protein-nucleic acid (protein-Nu) interactions are crucial for many cellular processes and biological functions. Crosslinking mass spectrometry (XL-MS) has emerged as a powerful method for identifying these interactions. However, the analysis of protein-Nu XL-MS data requires an integrated workflow from raw data processing to results inspection and validation. Existing workflows for protein-Nu XL-MS often require switching between tools and considerable manual processing. Here, we introduce NuXLApp, an interactive web-based application for data processing and results visualization in protein-Nu XL-MS studies. NuXLApp integrates the protein-Nu crosslink search engine "NuXL," machine-learning models for peptide property prediction, and interactive result visualization within a reproducible workflow. It enables rapid validation of false discovery rate-controlled crosslink spectrum match-level identifications and facilitates collaboration and intuitive exploration of experimental results. In addition, NuXLApp generates a spectral library from identified protein-Nu crosslinks to enable quantitative analysis of crosslinks using data-independent acquisition (DIA). NuXLApp supports discovery-driven identification of protein-nucleic acid crosslinks and enables DIA-based follow-up experiments for their quantitative analysis. NuXLApp is open-source and available via the OpenMS WebApps platform at https://nuxl.webapps.openms.de/.
Indexed as
Identifiers
42885187What 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.