Summary
Variant effect prediction with homology-aware PLMs improves with ensembling of multiple prompts (1). This means stochastically sampling from homologs to include during inference and pooling the predicted results.
Figures
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Ref (1)
1.
Wells J, Hooker AH, Livne M, Lin W, Miller D, Dallago C, et al. ProFam: Open-Source Protein Family Language Modelling for Fitness Prediction and Design. openRxiv; 2025. Available from: https://doi.org/10.64898/2025.12.19.695431