From molecular organization to biochemical function: A stratified B-biochem framework for proteins, membranes, enzymes, and molecular interactions

Biochemical systems exhibit complex relationships between molecular structure, conformational dynamics, chemical interactions, metabolic organization, and biological function. Established biochemical models describe these processes through thermodynamics, molecular mechanics, reaction kinetics, statistical methods, and mathematical representations of molecular interactions.
Building upon my proposed Bansal Chemistry (B-Chem) framework, I present a stratified algebraic–geometric approach for representing biochemical organization and its relationship to molecular function.
The proposed methodology incorporates nonlinear mathematical formulations, hypercomplex algebraic structures, geometric admissibility conditions, and coupled molecular-state descriptions. Chemical and biochemical systems are represented through interacting stratified layers that distinguish molecular configuration, orientation, energetic constraints, structural transformations, and functional response.
The framework is examined through representative biochemical systems, including carbohydrate metabolism, lipid organization, phospholipid membranes, protein structure, protein folding, conformational dynamics, and enzyme-mediated transformations.
Particular emphasis is placed on the relationship between protein conformation and molecular function, the geometric organization of biological membranes, and the influence of catalytic and inhibitory interactions on biochemical-state evolution.
Additional connections to receptor signaling, molecular transport, and biochemical regulation illustrate the possible extension from individual molecular structures toward coordinated biological processes.
The proposed B-BioChem approach preserves established biochemical principles while investigating an alternative mathematical organization of molecular behavior.
The intended contribution is a computationally interpretable framework for connecting biochemical structure, molecular interactions, and functional dynamics. Its applicability and comparative performance remain subjects for quantitative investigation and independent scientific evaluation.