The GFAP Degradome Foundation Atlas (Version 4) is a comprehensive, open-access proteomic reference dataset systematically mapping the theoretical degradome of human Glial Fibrillary Acidic Protein (GFAP). Developed within the Degradome Atlas framework, this resource models GFAP not as a static protein, but as a dynamic ensemble of proteolytic peptide fragments derived from theoretical processing, turnover, and degradation events.
GFAP is the primary intermediate filament protein expressed in astrocytes and serves as a major clinical biomarker for astrocyte reactivity, traumatic brain injury (TBI), neuroinflammation, and neurodegenerative conditions.
To ensure immediate interpretability and simple automated parsing in statistical pipelines, every peptide fragment uses a standardized, human-readable identifier encoding the sequence state and exact cleavage boundaries relative to the full-length protein:
gfap_total_wt_125_130gfap_total_d128n_125_130gfap_total_alpha_409_432Each entry includes calculated mass spectrometry and physicochemical descriptors including mass-to-charge ratio (m/z), molecular weight (Da}), isoelectric point (pI), net charge, Boman index, instability index, aliphatic index, and hydrophobicity metrics.
.csv) dataset containing all GFAP wild-type, mutant, and isoform peptide fragments under the universal cleavage model..tar.gz).To decompress the individual dataset archive via a UNIX/Linux terminal, run:
Bash
tar -xvJf gfap_total*.tar.gz
If you utilize this atlas, source code, or conceptual framework, please cite the dataset DOI and the core methodological publication:
Keywords: GFAP, Glial Fibrillary Acidic Protein, GFAP Degradome Foundation Atlas, Degradomics, Proteomics, Peptidomics, Astrocytes, Neuroinflammation, Neurodegeneration, Alexander Disease, AxD, GFAP Mutations, GFAP Isoforms, Biomarkers, Traumatic Brain Injury, Antisense Oligonucleotides, Mass Spectrometry, Cleavage Sites, Proteolysis, Bioinformatics, Computational Biology, Python.
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