Defining Pathway Assembly and Exploring its Applications

TL;DR

This paper introduces a general framework for estimating the probability of object formation through pathway assembly, using graph-based complexity measures to analyze formation steps and their probabilities in various contexts.

Contribution

It provides a first-principles definition of pathway assembly applicable to diverse cases, expanding the theoretical foundation of pathway complexity analysis.

Findings

Defined pathway assembly from first principles.

Explored applications demonstrating the approach's versatility.

Quantified formation probabilities without biological or technological assumptions.

Abstract

How do we estimate the probability of an abundant objects' formation, with minimal context or assumption about is origin? To explore this we have previously introduced the concept of pathway assembly (as pathway complexity), in a graph based context, as an approach to quantify the number of steps required to assembly an object based on a hypothetical history of an objects formation. By partitioning an object into its irreducible parts and counting the steps by which the object can be reassembled from those parts, and considering the probabilities of such steps, the probability that an abundance of identical such objects could form in the absence of biological or technologically driven processes can be estimated. Here we give a general definition of pathway assembly from first principles to cover a wide range of case, and explore some of these cases and applications which exemplify the unique features of this approach.