NapShift-CG: an artifical neural network chemical shifts predictor for coarse grained protein models

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Michail D. Vrettas
DOI: 10.5281/zenodo.18290113
Cited by: 0

Abstract

NapShift-CG is a chemical shift predictor for coarse grained protein models. It provides a natural extension of the full atomistic version (NapShift) to reduced models.

Fields of Study & Subjects

Protein Structure and Dynamics Advanced NMR Techniques and Applications Advanced Physical and Chemical Molecular Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026
Language
EN