Reveals classification challenges of protein types in the human proteome, suggesting deeper insights into dynamic properties.
Fiedler Inversion Score (FIS) v5: Human Proteome Atlas — Phase 1 (Crystal) + Phase 2 (AlphaFold2) This release supersedes FIS v4 (DOI: 10.5281/zenodo.20187798) and presents the complete two-phase analysis of the human proteome using the Fiedler Inversion Score geometric classification framework. Phase 1 (Crystal Structures — High Confidence): 2,676 human proteins with PDB apo/holo crystal structure pairs. 100 Type II spring-loaded drug target candidates identified (3.7%). Mann-Whitney U p = 1.34e-24. LOO-CV: 98/100 stable. Fisher exact vs FDA-approved targets: OR = infinity, p < 0.001. Phase 2 (AlphaFold2 Proteome — Exploratory): 19,678 proteins computed (96.4% of Swiss-Prot human proteome). Combined coverage: 19,735 unique proteins (96.7%). Key finding: AF2 cannot directly classify Type II (p = 0.55) — confirms Type II is a dynamic property requiring apo/holo crystal contrast. FIS Classification (Prior Definition): Type I: ratio < 5 (stable). Type II: lambda2_closed/lambda2_open > 5 (spring-loaded). Type III: near-zero lambda2 (disordered). Files: fis_pipeline_n100.py (reproducible pipeline), FIS_results_n100.csv (Phase 1), fis_unified_proteome.csv (Phase 1+2 unified atlas, top 5,000). --- COPYRIGHT AND LICENSING NOTICE Academic Use (CC BY-NC-ND 4.0): This dataset, methodology, and all associated software are released under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International. You are free to share and cite for non-commercial academic purposes with attribution. Commercial Use — Separate License Required: Any commercial application of the Fiedler Inversion Score (FIS) framework, the Human Proteome FIS Atlas, or derivative works — including pharmaceutical drug target screening, computational drug discovery services, clinical diagnostics, bioinformatics platform integration, or licensing to third parties — requires a separate written commercial license from the copyright holder. Copyright (c) 2026 Kao, Yao-Kai. All commercial rights reserved. Institute of Brain Science, National Yang Ming Chiao Tung University (NYCU), Taiwan. Commercial licensing: jackykao@gm.nycu.edu.tw This dual-licensing structure ensures open academic access while preserving exclusive commercial rights to the FIS methodology and Human Proteome Atlas. The prior art established by this DOI series (first deposited: 2026-05-14, DOI: 10.5281/zenodo.20187798) constitutes the foundational IP record for all future commercial applications of the FIS framework. Part of the Geometric Systems Medicine series.
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Yao-Kai Kao (2026) studied this question.
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