ArticleAnalytical chemistry2020
EnvCNN: A Convolutional Neural Network Model for Evaluating Isotopic Envelopes in Top-Down Mass-Spectral Deconvolution.
Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Protein crotonylation in cancer: mechanisms, functions, and therapeutic potential.Cell biology and toxicology · 2025Review
- Uncovering hidden protein modifications with native top-down mass spectrometry.Nature methods · 2025Article
- ResNeXt-Based Rescoring Model for Proteoform Characterization in Top-Down Mass Spectra.Interdisciplinary sciences, computational life sciences · 2025Article
- A Fast Neural Network for Isotopic Charge State Assignment.Journal of the American Chemical Society · 2025Article
- Recent Developments in Machine Learning for Mass Spectrometry.ACS measurement science au · 2024Review
- MASH Native: a unified solution for native top-down proteomics data processing.Bioinformatics (Oxford, England) · 2023Article
- TopFD: A Proteoform Feature Detection Tool for Top-Down Proteomics.Analytical chemistry · 2023Article
- High-Resolution Native Mass Spectrometry.Chemical reviews · 2022Review
- Top-Down Mass Spectrometry Data Analysis Using TopPIC Suite.Methods in molecular biology (Clifton, N.J.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Top-down mass spectrometry has become the main method for intact proteoform identification, characterization, and quantitation. Because of the complexity of top-down mass spectrometry data, spectral deconvolution is an indispensable step in spectral data analysis, which groups spectral peaks into isotopic envelopes and extracts monoisotopic masses of precursor or fragment ions. The performance of spectral deconvolution methods relies heavily on their scoring functions, which distinguish correct envelopes from incorrect ones. A good scoring function increases the accuracy of deconvoluted masses reported from mass spectra. In this paper, we present EnvCNN, a convolutional neural network-based model for evaluating isotopic envelopes. We show that the model outperforms other scoring functions in distinguishing correct envelopes from incorrect ones and that it increases the number of identifications and improves the statistical significance of identifications in top-down spectral interpretation.
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.