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Enhancing molecular machine learning with quantum-chemical insight
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, in drug discovery, ML models forecast interactions between drug candidates and biological targets, greatly enhancing efficiency and accelerating discovery.
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, in drug discovery, ML models forecast interactions between drug candidates and biological targets, greatly enhancing efficiency and accelerating discovery.
