Structural Mapping of Proteins Implicated in Rare Pediatric Genetic Disorders — Pediatric Research Dataset v1.0

Abstract This dataset presents curated structural sequences and disorder annotations for proteins implicated in rare pediatric genetic disorders, including MECP2 (Rett Syndrome), Ataxin-1 (Spinocerebellar Ataxia Type 1), Ataxin-3 (Machado-Joseph Disease/SCA3), and additional targets associated with inherited childhood pathologies. Each entry provides UniProt accession identifiers, intrinsic disorder classifications, and full-length amino acid sequences suitable for structural prediction, pharmacological chaperone design, and gene therapy target validation. This resource aims to support the development of precision interventions for conditions that disproportionately affect pediatric populations. Plain Language Summary Many rare childhood diseases are caused by inherited genetic mutations that produce misshapen, non-functional proteins. This dataset provides the detailed molecular sequences of proteins linked to conditions such as Rett Syndrome and spinocerebellar ataxia. By sharing this structural information openly, we help researchers study exactly how these proteins are malformed and explore potential treatments — such as drugs that help the proteins fold correctly or gene therapies that correct the underlying mutations — offering hope for children affected by these often-overlooked conditions. Related Resources Source Code: GitHub — Nexus Resonance Codex / Protein-Folding Author Profile: ORCID — James Paul Trageser Author: @jtrag on X Contact: [e-mail] Related Datasets in This Series Osmotic Stress Response Proteins — Agricultural Genomics Dataset Oncogenic Driver Mutations — Cancer Research Dataset Neurodegenerative Disease Targets — Neuro Research Dataset