In silico evolution of globular protein folds from random sequences

Abstract

The origin and evolution of protein folds are among the most challenging, long-standing problems in biology 1,2. Although many plausible scenarios of early protein evolution leading to fold nucleation have been proposed 3-8, realistic simulation of this process was not feasible because of the lack of efficient approaches for protein structure prediction, a situation that changed with the advent of powerful tools for fast and robust protein structure prediction, such as AlphaFold 9,10 and ESMFold11. We developed a computational approach for protein fold evolution simulator (PFES) with atomistic details that provide insights into the mechanisms of evolution of globular folds from random amino acid sequences. PFES introduces random mutations in a population of protein sequences, evaluates the effect of mutations on protein structure, and selects a new set of proteins for further evolution. Repeating this process iteratively allows tracking the evolutionary trajectory of a changing protein fold that evolves under selective pressure for protein fold stability, interaction with other proteins, or other features shaping the fitness landscape. We employed PFES to show how globular protein folds could evolve from random amino acid sequences as monomers or in complexes with other proteins. The simulations reproduce the evolution of many simple folds of natural proteins as well as the evolution of distinct folds not known to exist in nature. We show that evolution of a stable fold from random sequences, on average takes 3 to 8 amino acid replacements per site, suggesting that simple but stable protein folds can evolve relatively easily. These findings could shed light on the enigma of the rapid evolution of protein fold diversity at the earliest stages of life evolution. PFES tracks the complete evolutionary history from simulations that describes intermediate states at the sequence and structure levels and can be used to test versatile hypotheses on protein fold evolution.