ArticleNature methods2023
Flash entropy search to query all mass spectral libraries in real time.
Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Computational metabolomics at scale: from open data to insight.Current opinion in biotechnology · 2026Review
- DeepMASS v.2: An enhanced deep learning platform for large-scale discovery and structural annotation of unknown plant metabolites.Plant communications · 2026Article
- Purine-Metabolism Reprogramming Associated with Failed-Repair Proximal Tubule States in the AKI-to-CKD Transition.Metabolites · 2026Article
- MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxins.Journal of cheminformatics · 2026Article
- Navigating the conjugated metabolome.bioRxiv : the preprint server for biology · 2026Article
- Review
- A guide to reverse metabolomics-a framework for big data discovery strategy.Nature protocols · 2025Review
- Metabolome informs about the chemical exposome and links to brain health.Environment international · 2025Review
- MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers.Nature communications · 2025Article
- TopLib: Building and Searching Top-Down Mass Spectral Libraries for Proteoform Identification.Analytical chemistry · 2025Article
- Mapping the Edges of Mass Spectral Prediction: Evaluation of Machine Learning EIMS Prediction for Xeno Amino Acids.Analytical chemistry · 2025Article
- LipidIN: a comprehensive repository for flash platform-independent annotation and reverse lipidomics.Nature communications · 2025Article
- Denoising Search doubles the number of metabolite and exposome annotations in human plasma using an Orbitrap Astral mass spectrometer.Nature methods · 2025Article
- Structural annotation of full-scan MS data: A unified solution for LC-MS and MS imaging analyses.bioRxiv : the preprint server for biology · 2025Article
- SimMS: a GPU-accelerated cosine similarity implementation for tandem mass spectrometry.Bioinformatics (Oxford, England) · 2025Article
- JUMPlib: Integrative Search Tool Combining Fragment Ion Indexing with Comprehensive TMT Spectral Libraries.Journal of proteome research · 2025Article
- Perspectives in computational mass spectrometry: recent developments and key challenges.Bioinformatics advances · 2025Article
- A Cluster-Based Deep Learning Model Perceiving Series Correlation for Accurate Prediction of Phonon Spectrum.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Article
- High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage.Environmental science & technology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Public repositories of metabolomics mass spectra encompass more than 1 billion entries. With open search, dot product or entropy similarity, comparisons of a single tandem mass spectrometry spectrum take more than 8 h. Flash entropy search speeds up calculations more than 10,000 times to query 1 billion spectra in less than 2 s, without loss in accuracy. It benefits from using multiple threads and GPU calculations. This algorithm can fully exploit large spectral libraries with little memory overhead for any mass spectrometry laboratory.
Indexed as
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.