DeepMind launched its successor AlphaFold 2 in 2020, when it was able to predict the structure of proteins with an accuracy comparable to that of X-ray crystallography. Jumper led the work on ...

Researchers try multiple means to get high-quality membrane proteins for ... plan to use X-ray crystallography, NMR spectroscopy or other techniques to probe protein structure.

Protein structure, Crystallography, Computational Methods, Bioinformatics, Structural Analysis, Drug Design Important Note: All contributions to this Research Topic must be within the scope of the ...

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

KJM4350 is a challenging course, giving a thorough introduction to protein crystallography, the most powerful method to study protein structures and biomolecular complexes. The method will be studied ...

This valuable study presents a thorough analysis of protein abundance changes caused by amino acid substitutions, using structural context to improve predictive accuracy. By deriving substitution ...

Those unassuming cans of beans in your kitchen are like Clark Kent—quietly hiding their superpowers. Beneath their simple aluminum exterior lies one of nature's healthiest sources of protein that's ...

The research groups within Biochemistry and Structural Biology study the structure, function and dynamics ... and biophysical techniques for dynamical protein studies. Richard Neutze's research group ...

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

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