DOI: 10.5522/04/30579419
title: <b>Myelin Basic Protein (MBP) Degradome Foundation Atlas</b>

description: The MBP Degradome Foundation Atlas (Version 1) is an open-access, fully reproducible dataset that provides the first comprehensive representation of the complete proteolytic degradome of Myelin Basic Protein (MBP). MBP is a key structural component of central nervous system myelin, and a central antigen in demyelinating diseases, including multiple sclerosis (MS) and other inflammatory neurological disorders.This atlas systematically enumerates and characterizes all possible proteolytic MBP peptide fragments defined by a curated set of experimentally and literature-supported cleavage sites. The degradome concept captures the dynamic pool of MBP fragments that arise through proteolysis in vivo full-length MBP. This dataset therefore aims to support biomarker discovery, mechanistic proteomics, and translational research in neuroimmunology and neurodegeneration.Scientific RationaleInstead of treating MBP as a single, static protein species, the degradome model reflects a biologically realistic landscape of coexisting proteolytic fragments. This is particularly relevant because:MBP undergoes extensive physiologic and pathologic proteolysis.Specific MBP fragments act as antigens and immunomodulatory signals.Fragment composition may vary with disease activity, genotype, or therapeutic intervention.Dataset ContentsThe compressed archive includes:MBP_WT.csv — full degradome of wild-type MBPMBP_R159K.csv — full degradome of the R159K MBP variantMBP_Degradome_All.csv — merged and unified dataset combining all included MBP variantsPython source code used to generate all peptide fragments and compute peptide featuresREADME.txt — structured technical documentationrequirements.txt — software dependency list for reproducibilityData FormatAll files are provided in CSV (comma-separated values) format and include the following annotated fields:<code>id</code> — structured peptide identifier (e.g., MBP_WT_10_42)<code>peptide</code> — amino acid sequence<code>start</code>, <code>stop</code> — cleavage positions<code>mz</code> — mass-to-charge ratio<code>Da</code> — molecular weight<code>Boman</code> — Boman index<code>charge</code> — net charge<code>pI</code> — isoelectric point<code>hydrophobicity</code><code>instability_index</code><code>aliphatic_index</code>These properties enable integration into R, Python, SAS, Matlab, and machine learning workflows.Software and ReproducibilityThe dataset is built using open-source tools:Python 3pandas for data handlingpeptides library for physicochemical property computationsqlite3 for intermediate in-memory processingpsutil for optional resource monitoringAll scripts are fully documented in the repository, ensuring full reproducibility.ApplicationsThis dataset is intended for use in:Biomarker discovery and validation in demyelinating diseasesComputational proteomics, including cleavage pattern modelingCharacterisation of MBP variants and SNP-associated degradome changesMachine-learning feature engineering for immunoproteomicsStructural, immunological, and functional analysis of MBP fragmentsKeywords (for discoverability)<i>Myelin basic protein, MBP, degradome, proteolysis, neuroimmunology, neurodegeneration, multiple sclerosis, demyelinating diseases, proteomics, peptide atlas, biomarker discovery, R159K, CNS autoimmunity, bioinformatics, mass spectrometry, immunoproteomics.</i>