From Cellular Responses to Pharmacological Domains: Multimodal Zero-Shot Drug Representation Learning
Multimodal drug discovery enables drug representation learning beyond chemical structure by incorporating cellular responses such as gene expression and cell morphology. However, direct fusion and instance-level contrastive alignment may mix mechanism-related signals with modality-specific noise and incorrectly separate structurally dissimilar but biologically related compounds. This limitation can obscure transferable mechanism patterns required for predicting the properties of unseen compounds
Record details
Published: 28 July 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare · Biotech
Retrieved: 29 July 2026
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How to cite this record
ethics.ai (28 July 2026), “From Cellular Responses to Pharmacological Domains: Multimodal Zero-Shot Drug Representation Learning,” evidence record 14157, https://ethics.ai/record/14157 (originally published by arXiv).
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