Consensus Computational Models Accurately Predict Chemical Binding to Human Sex Hormone Protein
Researchers developed a consensus machine learning and deep learning framework to accurately predict how diverse chemicals bind to human sex ...
Researchers developed a consensus machine learning and deep learning framework to accurately predict how diverse chemicals bind to human sex ...
Researchers developed laveau, an algorithm that converts KEGG RCLASS annotations into double-pushout graph transformation rules and atom-to-atom maps for thousands ...
A new open-access database, GhanaNPDB, compiles 256 natural products isolated from Ghanaian plants, microbes and aquatic invertebrates into a single ...
A computational study generated nearly 16,000 nirmatrelvir analogues and a similarity-based binding score to prioritize candidate inhibitors of the MERS-CoV ...
A machine-learning pipeline identified AML-selective small molecules and implicated glutathione reductase as a vulnerability that can be exploited in laboratory ...
A new conceptual analysis argues that property cliffs, abrupt physicochemical property changes triggered by small structural modifications, exist across acidity, ...
A new AI-curated database links 653 dietary compounds to 80 epigenetic targets across nearly 2,000 studies, creating the most comprehensive ...
Researchers at Peking University have developed SynCraft, a framework that uses large language models to predict precise atom-level edit sequences ...
A new study in Discover Chemistry shows how artificial intelligence, machine learning, and computational chemistry can predict the toxicity of ...
A new AI retrosynthesis system called RetroChimera combines models with complementary inductive biases to outperform leading baselines and earn the ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine