Learning Molecular Representations from Cellular Phenotypes with Structure Preservation

1Key Takeaways

• arXiv:2608.02688v1 Announce Type: new Abstract: Phenotypic drug discovery enables the discovery of functional relationships between molecular structures and cellular responses.
• However, existing multimodal representation learning methods often optimize cross-modal alignment without considering the intrinsic organization of chemical space, resulting in distorted molecular representations and loss of structural information.
• We propose \textbf{PhenMol}, a structure-preserving framework for….