Chemists have developed an efficient skeletal editing method for frequently used heteroaromatic structures. The technique could serve as a means to chemically modify biologically active compounds.

Bringing together soft, malleable living cells with hard, inflexible electronics can be a difficult task. UChicago researchers have developed a new method to face this challenge by utilizing ...

Researchers present ARES (Atomic Rotationally Equivariant Scorer) – a machine learning method that significantly improves the computational prediction of RNA structures over previous approaches. Like ...