A Hong Kong University of Science and Technology (HKUST) research team has developed a catalytic enantioselective type II ...

The study also used AI/ML-guided chemistry ... on the right. [Images from SUNBIOSCIENCE] Finding new patterns, even unseen objects, is just the start of what AI can do for drug discovery.

Enantiomers, or molecule pairs that are mirror images of each other, make up more than half of FDA-approved drugs in use ...

Scientists at UC San Diego have developed a machine learning algorithm to simulate the time-consuming chemistry involved in the earliest phases of drug discovery ... and pictures, such as creating ...

The technique, described today in Science 1, could one day have applications in drug discovery. The different versions of chiral molecules — called enantiomers — often have very different ...

Using image-based profiling ... safety and reducing costs in drug discovery. Blake pens and edits breaking news, articles and features on a broad range of scientific topics. He earned an honors degree ...

“It has been incredibly hard to manipulate these types of complex plant compounds for the benefit of drug design,” says senior author Ryan Shenvi, PhD, professor at Scripps Research.

Undergraduate and graduate students will receive hands-on training and learn advanced laboratory techniques that will prepare them for careers in research and drug discovery. ⇒ Learn more about the ...

A research team from the University of Oklahoma has pioneered a method that could accelerate drug discovery and reduce ... are also exploring how this chemistry could revolutionize a fast-growing ...

"Chemical endocytic medicinal chemistry has the potential to impact every aspect of endocytic drugs from drug discovery and development to clinical practice," said Li. In this novel process ...

The University of Siena announces the Green Chemistry meets Drug Discovery & Development (GCD3) Pontignano Sustainability Conference. As a natural evolution of the 10th Edition of the European ...