Characteristics of Molecular-biological Systems and Process-network Synthesis

TL;DR

This paper explores biological networks through graph theory, discussing genetic, protein, and metabolic systems, highlighting properties like robustness and self-organization, and suggesting computational tools for biological process network synthesis.

Contribution

It introduces a graph theoretic approach to biological network synthesis, emphasizing properties like self-assembly and proposing computational tools for analysis.

Findings

Biological systems exhibit scaling properties.

Robust self-assembly is a key feature.

Tools like Synprops and Therm aid in network analysis.

Abstract

Graph Theoretic Process Network Synthesis is described as an introduction to biological networks. Genetic, protein and metabolic systems are considered. The theoretical work of Kauffman is discussed and amplified by critical property excursions. The scaling apparent in biological systems is shown. Applications to evolution and reverse engineering are construed. The use of several programs, such as the Synprops, Design of molecules, Therm and Knapsack are suggested as instruments to study biological process network synthesis. The properties of robust self-assembly and Self-Organizing synthesis are important contributors to the discussion. The bar code of life and intelligent design is reviewed. The need for better data in biological systems is emphasized.