/tools/SolTranNet
SolTranNet
gnina/SolTranNet
40 stars15 forksPythonAdded February 8, 2026
summary
SolTranNet is a machine learning tool that predicts the aqueous solubility of molecules based on their SMILES representations. It utilizes a molecular transformer architecture to provide fast and accurate predictions, making it useful for applications in drug discovery and cheminformatics.
description
Implementation of the SolTranNet tool utilizing the molecular transformer to predict aqueous solubility
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