Author

Matthew Xie

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#machine learning Preprint Sep 2026

Analysis of Quantized and Efficiently Adapted Protein Language Models

Background: Protein language models (PLMs) are increasingly used for sequence generation and property prediction, but their size makes fine-tuning and deployment expensive. The effects of quantization and parameter efficient fine-tuning on performance, representations and generation remain insufficiently characterized....

I. Zeisler, Sebastian Clancy, P. Bayat et al. · 0 citations

Open access Jul 2026

Minimal Data · Maximal Insight (MDMI): A Structure-guided Pipeline for Discovering Functional Alternatives in Peptide-Protein Interfaces

Minimal Data Maximal Insight (MDMI), a two-stage structure-guided computational pipeline that designs functional peptide variants using only a small, annotated dataset, demonstrates that structure-informed pipelines can uncover remote functional sequence space from minimal data.

P. Bayat, Spencer J. Perkins, Sebastian Clancy et al. · bioRxiv · 0 citations