Computational Estimation of 1,000,000 Monte Carlo Runs with 1000 Division Events for 50-Nucleotide RNA/DNA and Diverse Peptides in the Matter World Hypothesis

The Matter World Hypothesis (MWH) posits that life emerged through synergistic interactions among RNA, DNA, peptides, lipids, and minerals (RDPLE⁺) in prebiotic environments (hydrothermal vents, ice veins, wet-dry cycles). While prior simulations (150,000 Monte Carlo steps, ~10 divisions) demonstrated protocell viability, they lacked evolutionary depth. Here, we present an optimized computational framework for 1,000,000 Monte Carlo runs, tracking 1000 division events (~1,000,000 steps) with 50-nucleotide RNA/DNA and diverse peptides (glycine, alanine, valine, aspartic acid, serine). The model integrates parallel computing, stochastic environmental fluctuations (Gaussian noise, Poisson-distributed extreme events), and non-linear scaling to capture long-term protocell dynamics, molecular cooperation, and evolutionary trajectories.These results underscore MWH’s capacity to model life’s origins through matter self-organization, with implications for astrobiology, synthetic protocell design, and theoretical biology. Empirical validation is needed to test predictions.All findings in this study are derived from advanced simulations and thus require empirical validation before drawing definitive conclusions.