ScDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction.

ABSTRACT: Drug resistance remains a significant barrier to improving the effectiveness of cancer therapies. To better understand the biological mechanisms driving resistance, single-cell profiling has emerged as a powerful tool for characterizing cellular heterogeneity. Recent advancements in large-scale foundation models have demonstrated potential in enhancing single-cell analysis, yet their performance in drug response prediction remains underexplored. In this study, we developed scDrugMap, an integrated framework for drug response prediction that features both a Python command-line tool and an interactive web server. scDrugMap supports the evaluation of a wide range of foundation models, including eight single-cell foundation models and two large language models (LLMs), using large-scale single-

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12083700 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature