AI RESEARCH
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
arXiv CS.LG
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ArXi:2408.05696v2 Announce Type: replace In drug discovery, predicting the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of small-molecule drugs is critical for ensuring safety and efficacy. However, the process of accurately predicting these properties is often resource-intensive and requires extensive experimental data. To address this challenge, we propose SMILES-Mamba, a two-stage model that leverages both unlabeled and labeled data through a combination of self-supervised pre