METHODOLOGY FOR MAPPING AND TRANSDUCTION OF THE BIOLOGICAL ROOT-MOTHER (MMTRB)
Title Methodology for Mapping and Transduction of the Biological Root-Mother (MMTRB): From Primitive Architecture to the Structural Engineering of Living Systems Authors Cláudio Vicente da Silva Londrina, Paraná, Brazil 13 September 2026 Description This work presents the Methodology for Mapping and Transduction of the Biological Root-Mother (MMTRB), a rigorous structural framework that extends Primitive Architecture into the domain of living systems. Rather than beginning with isolated molecules, organs, or clinical symptoms, MMTRB inverts the conventional order of investigation: it starts from the relational architecture that organizes biological form and continuity. The foundational sequence that governs the methodology is: RELATION → OPPOSITION → EQUILIBRIUM → MOVEMENT → LATENCY → TRANSDUCTION → FORM → MEMORY → RESONANCE → CYCLE → NEW RELATION Within this architecture, the body is treated as a dynamic, multiscale relational structure. A tissue, cell, molecule, ionic configuration, or electronic organization is understood not as an isolated object but as a state embedded in a network of relations. The central concept—the Biological Root-Mother—is defined as the minimal structural relation whose conservation permits a given biological organization to persist across scales. The operational core of MMTRB consists of four coordinated operations: Map → Locate Latency → Measure Deviation → Transduce Deviation is formalized through the structural parameter d = \\beta - \\frac{1}{2}, where \\beta_0 = \\frac{1}{2} represents the structural midpoint. Coherence between an observed state and a defined target state is evaluated by the Π Metric of vital coherence. Transduction is explored in physical, chemical, and informational modalities. The methodology incorporates latency spaces, structural signatures, branching trajectories, coverage measures, recovery of failed paths, and independent auditing—features drawn from the Autonomous Transduction Machine (ATM) architecture and adapted to biological investigation. MMTRB does not claim that every disease possesses a single structural cause, nor that any transductive intervention constitutes a cure. It establishes a formal, auditable procedure for investigating these possibilities through mathematical construction, structural mapping, computational experimentation, biological observation, and systematic verification. The framework explicitly separates hypothesis, mathematical construction, computational experiment, observed result, and interpretation, thereby protecting against post-hoc fitting and selective confirmation. The complete methodological chain is condensed as: E \\to R_M \\to T \\to E' where E is the observed biological state, R_M the candidate Root-Mother, T a transduction operator, and E' the resulting state. The reverse-engineering movement (from form to minimal relation and back) is required at every scale, from organism to electronic configuration and return. This document provides the full formal architecture: the Biological Transductive Funnel, the Mapping and Root-Mother Matrices, the Deviation and Coherence Maps, the principles of non-destruction, coverage, recovery, independent audit, falsifiability, and reproducibility, together with a general algorithm and computational organization ready for implementation. It constitutes the biological extension of Primitive Architecture and supplies an anterior structural layer for organizing research in structural biology, systems biology, and related fields. Keywords Primitive Architecture; Biological Root-Mother; Structural Transduction; Structural Mapping; Structural Diagnosis; Biological Transductive Funnel; Π Metric; Structural Deviation; Latency; Relational Geometry; Autonomous Transduction Machine; Multiscale Architecture; Structural Invariance; Verification
Authors
- Claudio Vicente da Silva
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-14
- DOI
- https://doi.org/10.5281/zenodo.22746593
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- preprint