Molecular mechanisms of phosphoester bond formation in abiotic conditions with reactive neural network potentials

06 December 2023, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

RNA is likely to be the first biomolecule to have appeared during evolution, but the abiotic synthesis of long oligonucleotides through phosphoester bond formation is an unsolved problem. Because the uncatalyzed reaction is extremely slow, experimental studies bring limited and indirect information on the molecular mechanism, the nature of which remains debated. We solve this issue by using neural network potentials systematically trained to explore, with enhanced sampling strategies, the chemical phase space for such complex reaction involving several proton transfers and exchanges of heavy atoms in explicit solvent, with quantum accuracy but moderate computational cost. A dissociative mechanism is thermodynamically favored over an associative one, with the formation of a metaphosphate transition state and direct participation of water solvent molecules. These observations rationalize unexplained experimental results and the temperature-dependence of the reaction rate, and they pave the way for the design of more efficient abiotic catalysts and activating groups.

Keywords

prebiotic chemistry
neural network potentials
enhanced sampling
transition path sampling
phosphoester bond formation

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