Target prediction with machine learning algorithms can help accelerate the identification of protein targets of hit molecules, limiting the number […]
Despite being applied successfully to image recognition, Siamese recurrent neural network has rarely been explored in drug discovery. A recent […]
Moonlighting proteins are a subclass of multifunctional proteins, which play an important role in disease pathways and drug-target discovery. As […]
Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]
A recent study, published in Scientific Reports, designed a test system using machine learning to systematically examine the structural features […]
At the time of writing, there have been 137 million cases and nearly 3 million deaths from COVID-19. Although some targets […]
Epigenetic targets are of significant importance in drug discovery research, and there is increasing availability of chemogenomic data related to […]
Predicting novel drug-target interactions plays an important role in identifying new drug candidates and finding new proteins to target. An […]
We summarize a recent study, published in Communications Biology, that outlines a new framework to audit and reduce AI bias […]
Researchers have combined structural and functional magnetic resonance imaging (MRI) with machine learning (ML) techniques to aid in accurately identifying […]
