Proteins are among the most important building blocks of nature and play a central role in biological processes in all organisms.
Using the so-called Function-Structure-Adaptability (FSA) approach, a team led by Andreas Winkler and Oliver Eder from the Institute of Biochemistry at Graz University of Technology (TU Graz) have achieved a breakthrough.
The FSA approach compares machine-learning-generated, idealised protein sequences with natural sequences that have developed over millions of years of evolution, allowing the amino acids that are crucial for function and stability to be identified with unprecedented accuracy.
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Author's summary: Breakthrough in understanding proteins achieved by TU Graz researchers.