Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...
Inspired by the simple mechanism of a seesaw—when one side goes up, the other side goes down—researchers asked an intriguing ...
Amino acids are organic compounds that serve as the fundamental building blocks of proteins. They play a crucial role in the structure, function, and regulation of the body's tissues and organs. Amino ...
Proteins often function in pairs or groups, concealing their internal connection points and making it difficult for ...
Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...
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Study reveals hidden internal structure within biomolecular condensates
Cells rely on biomolecular condensates to coordinate essential biological processes without surrounding membranes. These droplet-like dynamic assemblies control the way in which DNA is turned into ...
Giving Structure to Language: Profluent’s AI Models Move toward Precise and Steerable Protein Design
The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...
In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...
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