How to Keep Linear Compute Scaling with Ever-Growing Data?

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Delivering Data Driven Value

How to Keep Linear Compute Scaling with Ever-Growing Data?

Ramil Nugmanov presents a fragment-based, SMILES-concatenation strategy for DNA-encoded library searches that dramatically reduces memory and compute demands while enabling fast, scalable similarity searches in billion-compound chemical spaces.
Published on: August 14, 2025
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