The field of protein dynamics and allosteric regulation explores how proteins, far from being rigid entities, exhibit a wide range of motions that are integral to their function. These molecular ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Understanding the structure of proteins is critical for demystifying their functions and developing drugs that target them. To that end, a team of researchers at Brown University has developed a way ...

Researchers at ETH Zurich recently explained the role of a molecular complex that orchestrates the production of proteins in our cells. They now show that this complex also controls the processing of ...

Thought LeaderDr. George HeathUniversity Academic FellowUniversity of Leeds In this interview, AZoNano speaks with Dr. George Heath from the University of Leeds, UK, about the fundamental principles ...

Building on the development of a suite of best-in-class capsids for retinal gene therapy, Avista has launched ARTEMIS, a powerful AI platform for capsid engineering. ARTEMIS leverages large, ...

In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

A research team has developed a next-generation anti-inflammatory protein using AI and supercomputing. Subscribe to our ...

At the recent ELRIG Drug Discovery conference, Technology Networks<i/> spoke with Dr. Kundan Sharma to learn more about how cell-free expression platforms are transforming membrane protein research.

Scientists have found a way to see ultrafast molecular interactions inside liquids using an extreme laser technique once ...

Undruggable targets typically refer to a class of therapeutic targets that are difficult to target through conventional methods or have not yet been targeted, but are of great clinical significance.