ReviewBioorganic & medicinal chemistry2015
Towards the computational design of protein post-translational regulation.
Review in Bioorganic & medicinal chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Global comparative structural analysis of responses to protein phosphorylation.Nature communications · 2025Article
- The Identification by Shotgun Proteomics with High-Resolution Tandem Mass-Spectrometry of Histone Isoforms' Hypermethylation Phenotype as a Hallmark Characteristic of Human-IDH-Mutant High-Grade Gliomas: Epigenetic Applications for Genotoxicity-Based Biomarkers and Cancer Therapy Targets.Journal of proteome research · 2025Article
- Large Language Model (LLM)-Based Advances in Prediction of Post-translational Modification Sites in Proteins.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences.Database : the journal of biological databases and curation · 2024Review
- A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction.Genomics, proteomics & bioinformatics · 2023Review
- Analysis of Structural Changes in the Protein near the Phosphorylation Site.Biomolecules · 2023Article
- Multi-Faceted Roles of DNAJB Protein in Cancer Metastasis and Clinical Implications.International journal of molecular sciences · 2022Review
- Review
- Posttranslational modifications in proteins: resources, tools and prediction methods.Database : the journal of biological databases and curation · 2021Article
- Self-assembly-based posttranslational protein oscillators.Science advances · 2020Article
- The landscape of tiered regulation of breast cancer cell metabolism.Scientific reports · 2019Article
- Analysis of Human Nuclear Protein Complexes by Quantitative Mass Spectrometry Profiling.Proteomics · 2018Article
- Insights from molecular dynamics simulations for computational protein design.Molecular systems design & engineering · 2017Article
- Modular engineering of cellular signaling proteins and networks.Current opinion in structural biology · 2016Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein post-translational modifications (PTMs) are a fast and versatility mechanism used by the cell to regulate the function of proteins in response to changing conditions. PTMs can alter the activity of proteins by allosteric regulation or by controlling protein interactions, localization and abundance. Recent advances in proteomics have revealed the extent of regulation by PTMs and the different mechanisms used in nature to exert control over protein function via PTMs. These developments can serve as the foundation for the rational design of protein regulation. Here we review the advances in methods to determine the function of PTMs, protein allosteric control and examples of rational design of PTM regulation. These advances create an opportunity to move synthetic biology forward by making use of a level of regulation that is of yet unexplored.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.