They discovered that the shape characteristics of a memory-related protein are crucial for the formation of these structures, which could shed light on the nature of various neurological disorders.

The amino acid sequence of a protein encodes its three-dimensional structure and determines its ... finding desirable mutants within each library 4, and allows the characterization of many more ...

This is the digital version of my master project's logbook that is created by using Streamlit Python package to document all the command lines and codes that I ran to do my project so that other ...

Protein structure predictions are bioinformatic analyses that produce predicted protein structures automatically using the protein amino acid sequence. Protein structures are important because ...

Our body's own defense system not only clears away bacteria and viruses, it can also fight cancer. However, not all tumor ...

A team of San Antonio-based biomedical researchers trained a machine learning algorithm to identify more than two dozen viable treatments for diseases caused by zoonotic pathogens that can jump from ...

In a study published in Angewandte Chemie International Edition, a research team integrated activity-based protein profiling ...

What makes these structures particularly intriguing is their unique "droplet-inside-droplet" organization, which scientists believe may be fundamental to how our brains create lasting memories.

Beyond medicine, these findings offer insights into protein self-assembly, which could impact synthetic biomaterials. Credit: Neuroscience News The study was published in the Proceedings of the ...

Abstract: In this paper, we adopt the calculus of variations to study the structure of protein with an energy formula> dependent on the curvature, torsion and their derivatives with respect to the arc ...