SLAS Discovery: Tools Propel Cancer, Fibrosis Research

SLAS (Society for Laboratory Automation and Screening)

Oak Brook, IL – Volume 34 of SLAS Discovery includes two original research articles, one short communication and one entry in the upcoming Special Issue on EUOS/SLAS Joint Challenge: Compound Solubility.

Original Research

Short Communication

Special Issue

The upcoming special issue, EUOS/SLAS Joint Challenge: Compound Solubility highlights a scientific challenge in which computational experts developed machine learning models to predict solubility for ~100,000 compounds from the EU-OPENSCREEN collection. The challenge prioritized interpretable AI workflows, combining robust data curation with meaningful chemical descriptors to create a benchmark for future solubility prediction in drug discovery.

Access to this issue of SLAS Discovery is available at https://www.slas-discovery.org/issue/S2472-5552(25)X0005-8

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