Researchers revive an abandoned depression drug target using structurally novel NK1 receptor inhibitors

For decades, scientists have investigated the neurokinin-1 receptor (NK1R) as a potential target for treating major ...
Medical Xpress

Accelerating drug combination discovery with machine learning

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...
EurekAlert!

Application of machine learning in drug side effect prediction: databases, methods and challenges

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
GEN

Drug Discovery Innovation: Target Deconvolution and Tractability Assessment

Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...