\textit{In silico} modelling of directed evolution: implications for experimental design and stepwise evolution

DOI10.1016/j.jtbi.2008.11.005zbMath1400.92384OpenAlexW2103637189WikidataQ51860397 ScholiaQ51860397MaRDI QIDQ1617520

Douglas B. Kell, William Rowe, David C. Wedge, Joshua D. Knowles

Publication date: 8 November 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2008.11.005

zbMATH Keywords

genetic algorithmfitness landscapemutation rateselection pressureNK-landscape

Mathematics Subject Classification ID

Problems related to evolution (92D15) Nonnumerical algorithms (68W05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

Selective phenome growth adapted \(N K\) model: a novel landscape to represent aptamer ligand binding ⋮ An Efficient Morris Method-Based Framework for Simulation Factor Screening

Cites Work

• Directed molecular evolution by machine learning and the influence of nonlinear interactions
• A general model of error-prone PCR
• Random forests
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: \textit{In silico} modelling of directed evolution: implications for experimental design and stepwise evolution