Using machine learning in drug discovery is no longer a novel procedure and has been well documented in recent literature. Now, researchers are using machine learning in unique ways. For one, they are ...

WEST LAFAYETTE, Ind. – Machine learning has been used widely in the chemical sciences for drug design and other processes. The models that are prospectively tested for new reaction outcomes and used ...

Innovators are using machine learning models to create new options for drug discovery pipelines. Innovators have introduced chemical reactivity flowcharts to help chemists interpret reaction outcomes ...

DNA-encoded chemical libraries are collections of compounds individually coupled to unique DNA tags serving as amplifiable identification barcodes. By bridging split-and-pool combinatorial synthesis ...

Study Shows that NPs Aid in the Development of Scaffolds for Med-Chem Optimization There is a recurring trend in modern drug discovery that involves looking at natural products (NPs) as a source of ...