poli.objective_repository.rmf_landscape

poli.objective_repository.rmf_landscape#

Rough Mount Fuji (RMF) fitness landscapes w/ tunable ruggedness using Numpy. See J Neidhart, IG Szendro, J Krug

Adaptation in Tunably Rugged Fitness Landscapes: The Rough Mount Fuji Model. Genetics 2014 . DOI: https://doi.org/10.1534/genetics.114.167668

See Aita et al.: Analysis of a local fitness landscape with a model of the rough Mt. Fuji-type landscape: Application to prolyl endopeptidase and thermolysin. Biopolymers 2000 . DOI: https://doi.org/10.1002/(SICI)1097-0282(200007)54:1<64::AID-BIP70>3.0.CO;2-R

Modules

`poli.objective_repository.rmf_landscape.isolated_function`
`poli.objective_repository.rmf_landscape.register`	Implements a (tunable) fitness landscape of the type RMF [1] for NA [1], AA [2] inputs.