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Article

Unlocking Protein Evolution Insights: Efficient and Interpretable Mutational Effect Predictions with GEMME.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2026

Carbone A, Laine E, Lombardi G

Abstract excerpt

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 address beyond mere landscape reconstruction. We provide several examples to guide users in maximizing the utility of GEMME. Additionally, we discuss recent...

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PMID: 41174309
DOI: 10.1007/978-1-0716-4828-5_7

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