It is not known how life originated. It is thought that prebiotic processes were able to synthesize short random polymers. However, then, how do short-chain molecules spontaneously grow longer? Also, how would random chains grow more informational and become autocatalytic (i.e., increasing their own concentrations)? We study the folding and binding of random sequences of hydrophobic (H) and polar (P) monomers in a computational model. We find that even short hydrophobic polar (HP) chains can collapse into relatively compact structures, exposing hydrophobic surfaces. In this way, they act as primitive versions of today's protein catalysts, elongating other such HP polymers as ribosomes would now do. Such foldamer catalysts are shown to form an autocatalytic set, through which short chains grow into longer chains that have particular sequences. An attractive feature of this model is that it does not overconverge to a single solution; it gives ensembles that could further evolve under selection. This mechanism describes how specific sequences and conformations could contribute to the chemistry-to-biology (CTB) transition.origin of life | HP model | biopolymers | autocatalytic sets A mong the most mysterious processes in chemistry is how the spontaneous transition occurred more than 3 billion years ago from a soup of prebiotic molecules to living cells. What was the mechanism of the chemistry-to-biology (CTB) transition? In this paper, we develop a model to explore how prebiotic polymerization processes might have produced long chains of proteinlike or nucleic acid-like molecules (1, 2). What polymerization processes are autocatalytic? How could they have produced long chains? Also, how might random chain sequences have become informational and self-serving? Our questions here are about physical spontaneous mechanisms, not about specific monomer or polymer chemistries.
CTB Requires an Autocatalytic ProcessEarly on, it was recognized that the transition from simple chemistry to self-supporting biological behavior requires autocatalysis (i.e., some form of positive feedback or bootstrapping, in which the concentrations of some molecules become amplified and selfsustaining relative to other molecules) (3-8). That work has led to the idea of an autocatalytic set, a collection of entities in which any one entity can catalyze another.We first review some of the key results. A class of models called Graded Autocatalysis Replication Domain (GARD) (9-11) predicts that artificial autocatalytic chemical kinetic networks can lead to self-replication, with a corresponding amplification of some chemicals over others. Such systems display some degree of inheritance and adaptability. GARD model is a subset of metabolism first models, which envision that small molecule chemical processes precede information transfer and precede the first biopolymers. Focusing on polymers, Wu and Higgs (12) developed a model of RNA chain-length autocatalysis. They envision that some of the RNA chains can spontaneously serve as polymerase ribozymes, l...