Matteo Smerlak

Expanding the space of self-reproducing RNAs using probabilistic generative models

The paper uses probabilistic generative models to estimate the number of self-reproducing RNAs and finds that at least 10^39 such ribozymes may exist.

General mechanisms for a top-down origin of the predator-prey power law

The paper investigates the top-down mechanisms underlying the predator-prey power law by combining differential equations and agent-based simulations.

RAFFT: Efficient prediction of RNA folding pathways using the fast Fourier transform

RAFFT predicts RNA folding pathways using a heuristic combining a folding algorithm and kinetic ansatz, efficiently generating near-native structures for RNA sequences up to 200 nucleotides.

An evolutionary algorithm for inverse RNA folding inspired by Levy flights

This paper introduces a Levy flight-based mutation scheme in an RNA inverse folding algorithm, improving sequence diversity and reducing computational cost on benchmark datasets.