AROMMA: Unifying Olfactory Embeddings for Single Molecules and Mixtures | ScienceToStartup | ScienceToStartup

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References (18)

[1]

Leveraging 3D Molecular Spatial Visual Information and Multi‐Perspective Representations for Drug Discovery

2025Zimai Zhang, Xi Zhou et al.

[2]

Does this smell the same? Learning representations of olfactory mixtures using inductive biases

2025G. Tom, Cher Tian Ser et al.

[3]

Deep Learning for Odor Prediction on Aroma-Chemical Blends

Founder's Pitch

"AROMMA offers a unified olfactory embedding tool for single molecules and mixtures with improved odor prediction performance."

Chemical AI•Score: 7•View PDF ↗

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AROMMA: Unifying Olfactory Embeddings for Single Molecules and Mixtures

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References (18)

Founder's Pitch

"AROMMA offers a unified olfactory embedding tool for single molecules and mixtures with improved odor prediction performance."

Commercial Viability Breakdown

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AROMMA: Unifying Olfactory Embeddings for Single Molecules and Mixtures

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References (18)

Founder's Pitch

"AROMMA offers a unified olfactory embedding tool for single molecules and mixtures with improved odor prediction performance."

Commercial Viability Breakdown

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