Methods in molecular biology (Clifton, N.J.)ProteinsMutationEvolutionMolecularComputational Biology
Unlocking Protein Evolution Insights: Efficient and Interpretable Mutational Effect Predictions with GEMME.
A Carbone, E Laine, G Lombardi
Published: 202610.1007/978-1-0716-4828-5_7
Abstract
The Global Epistatic Model for predicting Mutational Effects (GEMME) is a computational method that reconstructs protein mutational landscapes using sequence data alone. In this chapter, we delve into the broader biological questions that GEMME can a…
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