Probabilistic methods in directed evolution: Library size, mutation rate, and diversity

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Directed evolution has emerged as an important tool for engineering proteins with improved or novel properties. Because of their inherent reliance on randomness, directed evolution protocols are amenable to probabilistic modeling and analysis. This chapter summarizes and reviews in a nonmathematical way some of the probabilistic works related to directed evolution, with particular focus on three of the most widely used methods: saturation mutagenesis, error-prone PCR, and in vitro recombination. The ultimate aim is to provide the reader with practical information to guide the planning and design of directed evolution studies. Importantly, the applications and locations of freely available computational resources to assist with this process are described in detail.

Original languageEnglish
Title of host publicationDirected Evolution Library Creation
Subtitle of host publicationMethods and Protocols
PublisherHumana Press Inc.
Number of pages18
ISBN (Print)9781493910526
StatePublished - 2014

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745


  • Computational tools
  • DNA shuffling
  • Directed evolution
  • Error-prone PCR
  • Library generation
  • Probabilistic modeling
  • Saturation mutagenesis
  • Staggered extension process

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics


Dive into the research topics of 'Probabilistic methods in directed evolution: Library size, mutation rate, and diversity'. Together they form a unique fingerprint.

Cite this