# MixRx: Predicting Drug Combination Interactions with LLMs

arXiv: https://arxiv.org/abs/2601.03277 · HTML: https://mlsanity.com/paper/2601.03277/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 28 Dec 2025.

## Abstract (arXiv)

MixRx uses Large Language Models (LLMs) to classify drug combination interactions as Additive, Synergistic, or Antagonistic, given a multi-drug patient history. We evaluate the performance of 4 models, GPT-2, Mistral Instruct 2.0, and the fine-tuned counterparts. Our results showed a potential for such an application, with the Mistral Instruct 2.0 Fine-Tuned model providing an average accuracy score on standard and perturbed datasets of 81.5%. This paper aims to further develop an upcoming area of research that evaluates if LLMs can be used for biological prediction tasks.