Work

Higher-order epistasis drives evolutionary unpredictability toward new antibiotic resistance

Year: 2026

Type: software

Abstract: Analysis code and processed data for a combinatorially complete TEM-1 beta-lactamase fitness landscape (55,296 variants from 18 clinical mutations across 13 residues) measured under native (ampicillin) and non-native (aztreonam) antibiotic selection. Includes preprocessing, epistasis-order decomposition, LightGBM/SHAP regression, graph analysis, direct coupling analysis / latent generative landscapes, and figure generation. Accompanies the Nature Communications article.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21442350

Authors: Gaszek, Ilona Kamila, Yildiz, Muhammed Sadik, Meng, Zhaoxu, de la Paz, Jose Alberto, Alvarez, Sophia Maria, Sezer, Deniz, Morcos, Faruck, Lin, Milo, Toprak, Erdal

Institutions: The University of Texas Southwestern Medical Center, The University of Texas at Dallas

Language: English

Topic: Evolution and Genetic Dynamics

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7169720006

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