NapShift: a chemical shift predictor using artificial neural networks

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

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Authors: Michail D. Vrettas
DOI: 10.5281/zenodo.18289997
Cited by: 0

Abstract

This repository provides a Python implementation of the NapShift program to predict the backbone atoms' chemical shift values, from NMR protein PBD structures, using artificial neural networks.

Fields of Study & Subjects

Advanced NMR Techniques and Applications Protein Structure and Dynamics Machine Learning in Bioinformatics

Publication details

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