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Cited by 190

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Protein post-translational modifications: In silico prediction tools and molecular modeling

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Audagnotto, Martina, Dal Peraro, Matteo·2017·Computational and Structural Biotechnology Journal

Abstract

Post-translational modifications (PTMs) occur in almost all proteins and play an important role in numerous biological processes by significantly affecting proteins' structure and dynamics. Several computational approaches have been developed to study PTMs ( e.g. , phosphorylation, sumoylation or palmitoylation) showing the importance of these techniques in predicting modified sites that can be further investigated with experimental approaches. In this review, we summarize some of the available online platforms and their contribution in the study of PTMs. Moreover, we discuss the emerging capabilities of molecular modeling and simulation that are able to complement these bioinformatics methods, providing deeper molecular insights into the biological function of post-translational modified proteins.

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Metadata

Authors
Audagnotto, M., & Dal Peraro, M.
Venue
Computational and Structural Biotechnology Journal
Published
2017
Volume
15
Pages
307-319
ISSN
2001-0370 (ISSN-L)
OpenAlex
W2601092243
Cited by
190
References
23
FWCI
6.50
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Protein post-translational modifications: In silico prediction tools and molecular modeling. https://app.cochat.ai/papers/10.1016/j.csbj.2017.03.004
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Audagnotto, M., & Dal Peraro, M. (2017). Protein post-translational modifications: In silico prediction tools and molecular modeling. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2017.03.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.