bioRxivBioinformaticsPreprint
Scop3P in 2026: an expanded proteomics-informed resource contextualizing phosphorylation sites through sequence, structure, mutation, and experimental provenance
Pathmanaban RamasamyiD, Natalia TichshenkoiD, Adrián DíaziD, Kevin VelgheiD, Enrico MassignaniiD, Wim VrankeniD, Lennart MartensiD
Abstract
Protein phosphorylation is a central regulatory mechanism controlling protein activity, interactions, and cellular signalling, and its dysregulation is implicated in numerous diseases. Advances in mass spectrometry-based phosphoproteomics have led to a rapid expansion in the number of reported phosphorylation sites; however, interpretation of these data remains challenging due to fragmented evidence, limited structural context, and the lack of uniform experimental provenance across resources. Interpretation is further complicated by the fact that the biological meaning of reported phosphosites can vary substantially across tissues, cell lines, perturbations, and disease settings. Here, we present a major update of Scop3P, a proteomics-informed knowledgebase that contextualizes human phosphorylation sites within integrated sequence, structural, biophysical, evolutionary, and mutational frameworks. The current release incorporates uniformly reprocessed human phosphoproteomics data from 116 PRIDE datasets alongside curated UniProt annotations, retaining peptide-spectrum matches, site localization confidence, and direct links to primary mass spectrometry evidence via Universal Spectrum Identifiers. This integration yields 152,350 unique serine, threonine, and tyrosine phosphorylation sites across 16,533 human proteins, supported by full experimental provenance. Beyond site identification, Scop3P provides residue-level contextual annotations derived from experimentally determined protein structures and proteome-wide AlphaFold models, enabling near-complete structural coverage of phosphorylation sites. Structural context is further complemented by residue-level biophysical, evolutionary, and mutational annotations, supporting integrated assessment of phosphorylation in functional and disease-related settings. The current release also introduces residue interaction network representations derived from AlphaFold-predicted structures, capturing spatial connectivity and local interaction environments of phosphorylation and mutation sites. A redesigned web interface enables interactive exploration through coordinated 1D, 2D, 2.5D, and 3D visualizations, peptide-level coverage views, and direct access to original spectra via PRIDE. By bridging experimental phosphoproteomics with structural, functional, and disease-related context, Scop3P provides a scalable and provenance-aware resource for phosphosite interpretation, hypothesis generation, and data-driven modelling of phosphorylation-dependent regulation.
- organism: human
- assay: proteomics
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Scop3P: a comprehensive resource of human phosphosites within their full context
Pathmanaban Ramasamy, Demet Turan, … Lennart Martens·Journal of Proteome ResearchPeer-reviewed·Jun 8, 2020
- A panoramic perspective on human phosphosites
Pathmanaban Ramasamy, Elien Vandermarliere, … Lennart Martens·Journal of Proteome ResearchPeer-reviewed·Jul 6, 2022
- The functional landscape of the human phosphoproteome
David Ochoa, Andrew F. Jarnuczak, … Pedro Beltrão·Nature BiotechnologyPeer-reviewed·Dec 9, 2019
- Profiling the Human Phosphoproteome to Estimate the True Extent of Protein Phosphorylation
Anton Kalyuzhnyy, Patrick A. Eyers, … Andrew R. Jones·Journal of Proteome ResearchPeer-reviewed·May 9, 2022
- Scop3P-Toolkit: executable structure-aware workflows linking PTMs, peptides, and mutations to protein function
Adrián Díaz, Natalia Tichshenko, … Pathmanaban Ramasamy·bioRxiv·Aug 9, 2026
- Constructing Functional Networks of Phosphorylation Sites Using Co-Phosphorylation
Marzieh Ayati, Serhan Yılmaz, … Mehmet Koyutürk·bioRxiv·Aug 16, 2021