Proteins are so much more than nutrients in food. Virtually every reaction in the body that makes life possible involves this large group of molecules. And when things go wrong in our health, proteins are usually part of ...
Protein biosynthesis—the process whereby cells produce protein molecules, which are essential for life and growth—is a highly complex and strictly regulated affair. An interdisciplinary team led by LMU biologist PD Dr. ...
Understanding protein–ligand interactions is fundamental to molecular biology and biochemistry. These interactions are at the heart of many cellular processes, from enzyme catalysis to signal transduction. The foundational ...
In a new Nature Communications study, scientists have developed a novel method for artificial cells to interact with their external environment without the need for complex modification processes.
Dynamic, reversible modifications of DNA and RNA regulate how genes are expressed and transcribed, which can influence cellular processes, disease development, and overall organismal health. Small nucleolar RNAs (snoRNAs) ...
An international research team has uncovered a new mechanism crucial to the production of cellular proteins. When this mechanism is disrupted, the blueprints used by the cell to produce proteins are inaccurately edited through ...
Researchers from Auburn University, partnering with the University of Basel in Switzerland, have discovered a new way to make a cancer-targeting protein complex more stable, opening doors to better cancer treatments. Led ...
Over the years, chemical biology methods have made an important contribution to the study of integral membrane proteins. A key modern approach is genetic code expansion (GCE), which makes it possible to modify proteins directly ...
A new review of the research on cell-penetrating peptide (CPP) clusters by scientists from Macquarie University and Oxford University will provide a roadmap for biomedical scientists to develop the next generation of treatments ...
Recently, a research team has collaborated to propose a deep learning model for predicting protein conformational changes. This achievement has been published online in Advanced Science.
