Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and differentiation from mild cognitive impairment.
Leveraging AI and quantum calculations, scientists developed a new tool that yielded higher-quality structural information and solved notoriously elusive proteins.
The genomes of phages—viruses that infect bacteria—are largely composed of "dark matter": genes that encode proteins whose functions remain unknown. Less than four years ago, a team led by Prof. Rotem ...
A new citizen-science project is investigating a possible universal structural pattern in protein 3D architecture; The pattern involves amino acids clustering by chemical type int ...
Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational ...
Researchers have taken a significant step forward in understanding the stability of proteins by leveraging the power of AI. The research team used AlphaFold2 to explore how mutations affect protein ...
14don MSN
The key to attacking 'undruggable' proteins: Transient clustering state reveals a moving target
Intrinsically disordered proteins lack a fixed structure, which is why they have been considered "undruggable" targets for ...
A new study suggests Alzheimer’s disease may be detectable through subtle shape changes in proteins found in the blood.
A DGIST research team led by Prof. Yoo Wookyung (Department of Brain Sciences) and Prof. Kim Jin Hae (Department of New Biology) developed an innovative analytical technology in collaboration with a ...
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