ArticleScience advances2024
A combined NMR and deep neural network approach for enhancing the spectral resolution of aromatic side chains in proteins.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The perspective of artificial intelligence for NMR.Magnetic resonance letters · 2027Review
- Two-dimensional NMR from a single pulse: Reconstructing heteronuclear 2D spectra via off-resonance decoupling and deep neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Toward ultimate NMR resolution with deep learning.Science advances · 2026Article
- Deep Learning Assisted Proton Pure Shift NMR Spectroscopy.Journal of the American Chemical Society · 2026Article
- Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy.Communications chemistry · 2026Article
- Deep Learning for Hyperpolarized NMR of Intrinsically Disordered Proteins without Resolution Loss: Access to Short-Lived Intermediates.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025Article
- Exploring the Frontiers of Computational NMR: Methods, Applications, and Challenges.Chemical reviews · 2025Review
- Residue-Resolved Liquid-State Hyperpolarized NMR of Peptide Condensate Surfaces.Journal of the American Chemical Society · 2025Article
- Scalable deep learning reconstruction for accelerated multidimensional nuclear magnetic resonance spectroscopy of proteins.Science advances · 2025Article
- High-confidence reconstruction for Laplace inversion in NMR based on uncertainty-informed deep learning.Science advances · 2025Article
- Deep learning enabled ultra-high quality NMR chemical shift resolved spectra.Chemical science · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is an important technique for deriving the dynamics and interactions of macromolecules; however, characterizations of aromatic residues in proteins still pose a challenge. Here, we present a deep neural network (DNN), which transforms NMR spectra recorded on simple uniformly
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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 Socratic graph.