Machine Learning Reveals Structural Properties of Monosaccharides and their Peptide Conjugates

Authors

Anna Maria Papini (ORCID: https://orcid.org/0000-0002-2947-7107)
Marco Pagliai (ORCID: https://orcid.org/0000-0003-0240-161X)
Carla Bazzicalupi (ORCID: https://orcid.org/0000-0003-4602-0405)
Marina Macchiagodena (ORCID: https://orcid.org/0000-0002-3151-718X)
Gianni Cardini (ORCID: https://orcid.org/0000-0002-7292-3555)
Michele Casoria (ORCID: https://orcid.org/0009-0007-2960-3971)
Claudia Andreini (ORCID: https://orcid.org/0000-0003-4329-8225)

Publication Details

Published: 2024-09-20
DOI: https://doi.org/10.17952/37eps.2024.p1278
Primary Topic: Glycosylation and Glycoproteins Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Machine Learning Reveals Structural Properties of Monosaccharides and their Peptide Conjugates

Anna Maria Papini, Marco Pagliai, Carla Bazzicalupi, Marina Macchiagodena et al.

Sep 20, 2024

Glycosylation and Glycoproteins Research

article

Machine Learning Reveals Structural Properties of Monosaccharides and their Peptide Conjugates

Anna Maria Papini, Marco Pagliai, Carla Bazzicalupi, Marina Macchiagodena, Gianni Cardini, Michele Casoria, Claudia Andreini

September 20, 2024article en

Abstract

No abstract available for this paper.

Openalex Percentile: Top 86%

Glycosylation and Glycoproteins Research

DOI Open Access PDF OpenAlex

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Machine Learning Reveals Structural Properties of Monosaccharides and their Peptide Conjugates — Anna Maria Papini, Marco Pagliai, et al. · (2024) | TGRS Research Map | TGRS