PeSTo: A new AI tool for predicting protein interactions

Scientists at EPFL have developed PeSTo, an AI model that can predict, with high confidence, the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules. The model's ...

Researchers uncover the first steps driving antibiotic resistance

Antibiotic resistance is a global health threat. In 2019 alone, an estimated 1.3 million deaths were attributed to antibiotic resistant bacterial infections worldwide. Looking to contribute a solution to this growing problem, ...

Discovery of a cellular uptake pathway for larger drug molecules

Recent findings by UCSF and Arc Institute scientists open up new possibilities for overcoming a fundamental challenge in drug discovery. There can be a tradeoff between optimizing a drug's key-in-a-lock fit with its target ...

Molecular monitoring of RNA regulation

The better we understand cellular processes such as RNA regulation, the better molecular therapies can be developed. Until now, it has been especially difficult to track the regulation of non-coding RNA, which is RNA that ...

Magnesium ions slow down water dynamics on short length scales

The presence of ions affects the structure and dynamics of water on a multitude of length and time scales. New results from ultrafast spectroscopy and theoretical analyses show that the water environment of specific pairs ...

Evolutionary model predicts partitioning of molecules within cells

,Researchers from the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) in Göttingen, Germany, and Delft University of Technology, the Netherlands, have developed a new theoretical method to study mixtures ...

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