ArticlePLoS computational biology2021
Molecular dynamics shows complex interplay and long-range effects of post-translational modifications in yeast protein interactions.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Label-free optical detection of protein acetylation using UV-vis charge transfer spectra.Chemical science · 2026Article
- Polarization as a Process: The Potential of Process Ontology for Understanding Cellular Symmetry Breaking.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- An efficient machine-learning framework for predicting protein post-translational modification sites.Scientific reports · 2025Article
- Proteomic insights into the physiology and metabolism of oleaginous yeasts and filamentous fungi.Frontiers in microbiology · 2025Review
- FLAMS: Find Lysine Acylations and other Modification Sites.Bioinformatics (Oxford, England) · 2024Article
- Protein conformational ensembles in function: roles and mechanisms.RSC chemical biology · 2023Review
- Review
- Thirty years of molecular dynamics simulations on posttranslational modifications of proteins.Physical chemistry chemical physics : PCCP · 2022Review
- Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs.Journal of molecular biology · 2022Review
- The role of post-translational modifications in driving abnormal cardiovascular complications at high altitude.Frontiers in cardiovascular medicine · 2022Review
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Post-translational modifications (PTMs) play a vital, yet often overlooked role in the living cells through modulation of protein properties, such as localization and affinity towards their interactors, thereby enabling quick adaptation to changing environmental conditions. We have previously benchmarked a computational framework for the prediction of PTMs' effects on the stability of protein-protein interactions, which has molecular dynamics simulations followed by free energy calculations at its core. In the present work, we apply this framework to publicly available data on Saccharomyces cerevisiae protein structures and PTM sites, identified in both normal and stress conditions. We predict proteome-wide effects of acetylations and phosphorylations on protein-protein interactions and find that acetylations more frequently have locally stabilizing roles in protein interactions, while the opposite is true for phosphorylations. However, the overall impact of PTMs on protein-protein interactions is more complex than a simple sum of local changes caused by the introduction of PTMs and adds to our understanding of PTM cross-talk. We further use the obtained data to calculate the conformational changes brought about by PTMs. Finally, conservation of the analyzed PTM residues in orthologues shows that some predictions for yeast proteins will be mirrored to other organisms, including human. This work, therefore, contributes to our overall understanding of the modulation of the cellular protein interaction networks in yeast and beyond.
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