Generation of Cry11 Variants of Bacillus thuringiensis by Heuristic Computational Modeling.

ABSTRACT: Directed evolution methods mimic in vitro Darwinian evolution, inducing random mutations and selective pressure in genes to obtain proteins with enhanced characteristics. These techniques are developed using trial-and-error testing at an experimental level with a high degree of uncertainty. Therefore, in silico modeling of directed evolution is required to support experimental assays. Several in silico approaches have reproduced directed evolution, using statistical, thermodynamic, and kinetic models in an attempt to recreate experimental conditions. Likewise, optimization techniques using heuristic models have been used to understand and find the best scenarios of directed evolution. Our study uses an in silico model named HeurIstics DirecteD EvolutioN, which is based on a genetic algorit

SUBMITTER: Pinzon-Reyes EH 

PROVIDER: S-EPMC7385851 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature