Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...
Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Researchers study the three dimensional structures of molecules on a wall-sized video ...
Engineering proteins for desirable traits has been the holy grail of modern biotechnology. For example, the food industry can benefit from engineered enzymes which have the ability to enhance ...
EvoRank offers a new and tangible example of how AI may help bring disruptive change to biomedical research and biotechnology more broadly. Using the MutRank framework trained with EvoRank, Danny Diaz ...
Johns Hopkins engineers have helped develop and characterize an artificial protein that triggers the same response in the human body as its natural counterpart—a breakthrough that not only has the ...
Protein engineering and self-assembly techniques have transformed our capacity to design and manipulate protein structures for diverse applications. Through a combination of rational design and ...
It has long been thought that protein function and stability are highly sensitive to changes in the composition of the internal structures, or protein cores. However, a large-scale experiment probing ...
Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...
Ask a chemist to define a protein, and they’re likely to describe a complex biomolecule with intricate topologies of α-helices and β-sheets. But to most people, protein is a chicken breast or a fish ...
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New method for selective protein modification in living systems could advance cancer research
A research team has developed an innovative technique that enables precise modification of specific proteins within complex biological environments. The work was led by Professor Seung Soo Oh and Dr.
The key insight with a new strategy for training protein engineering models, called EvoRank, is to harness the natural variations of millions of proteins generated by evolution over deep time and ...
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