doubledeepms__predict_binding_fitness_from_folding_fitness: doubledeepms__predict_binding_fitness_from_folding_fitness

In lehner-lab/doubledeepms: Analysis scripts to reproduce the figures and results from doubleDeepPCA manuscript

doubledeepms__predict_binding_fitness_from_folding_fitness

Description

Predict binding fitness from folding fitness (for no binding affinity model).

Usage

  doubledeepms__predict_binding_fitness_from_folding_fitness(folding_fitness,
  folding_linear_kernel, folding_linear_bias, binding_linear_kernel,
  binding_linear_bias, b_dg_wt, RT = 0.001987 * (273 + 24))

Arguments

folding_fitness	Folding fitness (required)
folding_linear_kernel	Folding fitness kernel (required)
folding_linear_bias	Folding fitness bias (required)
binding_linear_kernel	Binding fitness kernel (required)
binding_linear_bias	Binding fitness bias (required)
b_dg_wt	Wild-type binding delta G (required)
RT	constant (default:0.001987*(273+24))

Value

Predicted binding fitness

lehner-lab/doubledeepms documentation built on July 21, 2023, 4:10 a.m.