Addendum I: Completion of the BioMolecular Table of Life
Addendum I: Completion of the BioMolecular Table of Life Group IX & Group X — Minerals and Emotional Molecules 🧬 Summary: The BioMolecular Table of Life (BMTL) Author: Atyanta Wibhawa (Indonesia)Title: The BioMolecular Table of Life: A Functional Reclassification of Core Biological Molecules 🎯 Purpose To create a visual, systemic model—like the periodic table—for organizing 250 key biomolecules by their biological functions, not by chemical structure. 🧠 Problem Classical biochemistry lacks a unified visual framework to represent the full landscape of biologically critical molecules. Existing resources are fragmented (e.g., KEGG, UniProt, GO). 💡 Solution: The BMTL A modular, color-coded table that categorizes essential molecules into 8 functional domains: Energetic Molecules Structural Molecules Signaling Molecules Genetic Molecules Immune Molecules Enzymes Lipid-Based Molecules Vitamins and Coenzymes Molecules are grouped by role, pathway relevance, and clinical utility, with visual cues (icons, rows, colors) for easy navigation. 🧪 Methodology Selected from textbooks, KEGG, UniProt, ChEBI Based on physiological importance and clinical significance Organized into clusters and treated functionally (e.g., NAD⁺/NADH as a unit) Finalized to exactly 250 molecules 🧩 Applications 📚 Education: Intuitive map for biology/medical learners 🔬 Systems Biology: Visualizing pathway overlaps 🤖 Computational Modeling: Training AI models, ontology building 🌐 Standardization: Harmonizing vocab across life sciences 🚀 Future Expansion Interactive & zoomable digital platforms Integration with disease/pathway data Clinical overlays (drug targets, relevance) Public & classroom derivatives ✅ Conclusion The BMTL offers a foundational, functional framework for life sciences—uniting complexity into a single visual system. It’s built to educate, integrate, and evolve alongside synthetic biology, biomedical AI, and molecular design. Support the Research If this work resonates and you wish to support further breakthroughs: BTC: 12qZPWFou9LJBXDmifKMsRcg8Z5kt2MrGk ETH via Ethereum mainnet 0xb14ddde7dd4296ebb39207f130e19dbb18eb4f08
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-28
- DOI
- https://doi.org/10.5281/zenodo.15760801
- Primary Topic
- Diverse Scientific Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00