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Abstract
This paper investigates the existence and characteristics of neutral networks in RNA ligase ribozymes using a deep learning-guided evolutionary algorithm. The researchers experimentally analyzed the activities of all 2<sup>16</sup> variants connecting two active ribozymes differing by 16 mutations, discovering an extensive neutral network. They found that lower-order mutational interactions can predict these neutral paths, providing empirical evidence supporting the role of neutral networks in increasing the accessibility and predictability of fitness landscapes.
Publisher
Nature Communications
Published On
Aug 17, 2022
Authors
Rachapun Rotrattanadumrong, Yohei Yokobayashi
Tags
RNA ligase ribozymes
neutral networks
deep learning
evolutionary algorithm
mutational interactions
fitness landscapes
empirical evidence

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