Computational Estimation of 1,000,000 Monte Carlo Runs with 100 Division Events for 50-Nucleotide RNA/DNA and Diverse Peptides in the Matter World Hypothesis

The Matter World Hypothesis (MWH) proposes that life emerged through synergistic interactions among RNA, DNA, peptides, lipids, and minerals (RDPLE⁺) in prebiotic environments (hydrothermal vents, ice veins, wet-dry cycles). Previous simulations (150,000 Monte Carlo steps) demonstrated protocell viability but were limited in evolutionary scope. Here, we present an optimized computational framework for 1,000,000 Monte Carlo runs, tracking 100 division events (~100,000 steps) with 50-nucleotide RNA/DNA and diverse peptides (glycine, alanine, valine, aspartic acid, serine). The model incorporates parallel computing, stochastic environmental fluctuations (Gaussian noise, Poisson-distributed extreme events), and non-linear scaling to capture protocell dynamics, molecular interactions, and evolutionary trends.All findings in this study are derived from advanced simulations and thus require empirical validation before drawing definitive conclusions.