Structural Mapping and Lead Scaffolds for Reversing Pathogenic Protein Nucleation in ALS, Alzheimer's, and Huntington's Disease

Abstract This dataset provides the definitive structural mapping and computational therapeutic framework for reversing pathogenic protein nucleation across the neurodegenerative spectrum. Included targets span ALS (SOD1 A4V mutant stabilization), Alzheimer's disease (Tau P301L aggregation kinetics, Amyloid-beta 42 fibril nucleation), Huntington's disease (polyglutamine expansion dynamics), and Parkinson's disease (Alpha-synuclein A53T conformational rescue). For each target, the dataset provides wild-type and mutant PDB structures, RMSD heatmaps, Ramachandran plots, binding pocket analyses, lead scaffold coordinates for small-molecule stabilizers, and a complete Phase 0 translational protocol. This resource is designed for computational chemists, structural biologists, and translational researchers developing aggregation inhibitors and conformational rescue therapeutics. Plain Language Summary Brain diseases like ALS, Alzheimer's, Huntington's, and Parkinson's are caused by proteins that fold incorrectly and clump together, destroying nerve cells. This dataset contains detailed three-dimensional structural models of the key proteins involved in each of these diseases, in both their healthy and diseased forms. It also includes computer-generated maps of potential drug-binding sites and starter chemical structures that could be developed into medicines. By providing everything a researcher needs to begin designing treatments — from atomic-level protein structures to clinical trial protocols — this resource aims to accelerate the path from laboratory discovery to real therapies for patients. 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 Rare Pediatric Genetic Disorders — Pediatric Research Dataset Neurodegenerative Disease Targets — Neuro Research Dataset