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Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning

Biology

Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning

R. Rotrattanadumrong and Y. Yokobayashi

This paper by Rachapun Rotrattanadumrong and Yohei Yokobayashi unveils a fascinating analysis of neutral networks in RNA ligase ribozymes through an innovative deep learning-guided evolutionary algorithm. With a study of over 65,000 variants, they provide groundbreaking insights into how lower-order mutational interactions can predict neutral paths, shedding light on the complexity of fitness landscapes.

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