2023
DOI: 10.1261/rna.079541.122
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Discovering pathways through ribozyme fitness landscapes using information theoretic quantification of epistasis

Nathaniel Charest,
Yuning Shen,
Yei-Chen Lai
et al.

Abstract: The identification of catalytic RNAs is typically achieved through primarily experimental means. However, only a small fraction of sequence space can be analyzed even with high-throughput techniques. Methods to extrapolate from a limited data set to predict additional ribozyme sequences, particularly in a human-interpretable fashion, could be useful both for designing new functional RNAs and for generating greater understanding about a ribozyme fitness landscape. Using information theory, we express the effect… Show more

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“…This signaled a potential connection between physical effects of encapsulation and ribozyme evolution. For over a decade, our laboratory has also been engaged in studying the sequence-activity relationship of ribozymes (known as the “fitness landscape”) to understand the emergence and evolution of RNA function. The fitness landscape is the function of fitness over multidimensional sequence space. For molecules, fitness is often equated with chemical activity, such as rate, meaning that the activity being studied is assumed to be important for the organism or system.…”
Section: Protocells As Evolutionary Accelerantmentioning
confidence: 99%
“…This signaled a potential connection between physical effects of encapsulation and ribozyme evolution. For over a decade, our laboratory has also been engaged in studying the sequence-activity relationship of ribozymes (known as the “fitness landscape”) to understand the emergence and evolution of RNA function. The fitness landscape is the function of fitness over multidimensional sequence space. For molecules, fitness is often equated with chemical activity, such as rate, meaning that the activity being studied is assumed to be important for the organism or system.…”
Section: Protocells As Evolutionary Accelerantmentioning
confidence: 99%