ScDrugMap: benchmarking large foundation models for drug response prediction.

ABSTRACT: Drug resistance remains a major challenge in cancer treatment. While single-cell profiling offers unprecedented resolution for uncovercovering resistance mechanisms, the potential of emerging foundation models for drug response prediction at the single-cell level is still largely unknown. Here, we introduce scDrugMap, a unified framework featuring both Python toolkits and an interactive web server for benchmarking and predicting drug responses with state-of-the-art foundation models. scDrugMap evaluates eight single-cell foundation models and two large language models across 495,000 cells from 60 datasets, spanning diverse tissues, drugs, cancer types, and treatment conditions. In pooled-data evaluation, scFoundation delivered the strongest performance, particularly in tumor tissue. In cro

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12820318 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature