During the years 1972 to 1978, a shift toward computational and structural perspectives on macromolecules emerged, integrating precise representations of three-dimensional arrangements, simple yet powerful packing rules for proteins, and efficient algorithms for estimating dimensions and surfaces. This period cemented the role of computation and geometry in explaining how macromolecules fold, assemble, and interact, enabling a coherent framework for future structural polymer science and molecular modeling. Historical Significance: The era unified structural principles with computational modeling, introducing dihedral angle representations for protein conformations, slithering-snake Monte Carlo approaches for conformational statistics, and solvent-exclusion surface maps to visualize topography and interaction potential. These breakthroughs laid the groundwork for subsequent advances in structural biology, energetic landscapes, and material design based on macromolecular architecture.