Ribonucleic acid, commonly known as RNA, is involved in many biological functions, and some, including gene silencing, are utilized to cure diseases. RNA has recently gained attention as a promising ...

New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for super-large-scale atomic structures. This effective Hamiltonian method could ...

Standard view treats physics as fundamental — matter, energy, fields — with information as merely a description we lay on top ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

The team also found matches between the newly predicted viral protein structures and the structures of other viral proteins. Most notably, the analysis revealed a strategy for evading host immune ...

The 2024 Nobel prize in chemistry has been awarded to three scientists for their work on describing and predicting proteins with the help of computers. One half of the prize goes to David Baker from ...

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