Admet
PulseAugur coverage of Admet — every cluster mentioning Admet across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New Foundation Model Accelerates Drug Discovery with Accurate ADMET Prediction
Researchers have developed MEGA-CL, a novel foundation model designed to predict the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of small molecules. This graph neural network framewo…
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New physics-informed hypergraph model enhances drug ADMET prediction
Researchers have developed ChemHyperMag, a novel physics-informed magnetic hypergraph learning model designed to improve the prediction of ADMET properties crucial for drug discovery. Unlike traditional methods that rel…
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New evaluation method reveals hidden failures in molecular property models
Researchers have identified significant failures in common evaluation methods for molecular property models, particularly those used in ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) prediction. A…
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AI Agent TRACE Enhances Drug Discovery Lead Optimization
Researchers have developed TRACE, a novel agent that utilizes LLM reasoning for molecular lead optimization in drug discovery. Unlike previous methods that optimize in a single step, TRACE treats tool selection as a seq…
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Co-folding models show promise for protein structure and small-molecule learning
Two new research papers explore the application of co-folding models in molecular learning, particularly for drug design. The first paper introduces AIMS-Fold, a framework that integrates structural proteomics data with…
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Study finds smaller AI models outperform large ones in drug discovery predictions
A new paper challenges the assumption that larger AI models are always superior in drug discovery. Researchers found that classical machine learning models and graph neural networks often outperform larger, general-purp…