PAIRWISE: Deep Learning-based Prediction of Effective Personalized Drug Combinations in Cancer.

ABSTRACT: Combination therapies offer promise for improving cancer treatment efficacy and preventing recurrence. Preclinical screening strategies can prioritize synergistic drug combinations. However, identifying optimal drug combinations tailored to specific cancer subtypes and individual patients is extremely challenging due to the vast number of possible combinations and tumor heterogeneity. To address this gap, we combined deep learning with transfer learning to incorporate prior scientific knowledge and predicted drug synergy based on tumor-specific transcriptome profiles. PAIRWISE explicitly modeled synergistic effects of drug combinations in cancer cell lines or individual tumor samples based on drug chemical structures, drug targets, and transcriptomes of inferred samples. Of note, PAIRWISE

SUBMITTER: Xu C 

PROVIDER: S-EPMC12869695 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature