Article

Condition-matched in silico prediction of drug transcriptional responses enables mechanism-guided screening and combination discovery

2026-03-31

Abstract excerpt

Perturbational transcriptomics links therapeutic compounds to cellular mechanisms and provides a powerful framework for drug discovery, but experimentally profiling transcriptional responses across diverse cell states, doses and durations is costly and often infeasible. Here we present DEPICT (Drug rEsponse Prediction in transCriptomics with Transformers), a deep learning framework that predicts condition-matched...

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Literature Corpus work: 7fd21f1c-f9e7-57a2-8fa1-16ffa3b3dbea
DOI: 10.64898/2026.03.27.714886

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