There have been many attempts to classify proteins into groups of related molecules in terms of their primary, secondary and tertiary structure. An overview of these classification schemes is ...

and/or different lots can be successfully evaluated with respect to both their overall composition and protein secondary structure by choosing the right spectral ranges for PCA. Samples of pea, rice, ...

and VP7 (the glycoprotein or G protein) are the determinants of the viral serotype classification, known as P-serotypes and G-serotypes. Furthermore, this group is also classified according to the ...

David Baker, Demis Hassabis and John M. Jumper shared the Nobel Prize in Chemistry on Wednesday for their work on protein structure. Atila Altuntas / Anadolu via Getty Images On Wednesday morning ...

For years, scientists have long questioned the viability of predicting protein functional shapes through the concept of understanding their initial foundational structure or building blocks of the ...

The prize winners are projected on a screen in Stockholm on Wednesday above. Sitting, from left to right, are Johan Aqvist, member of the Nobel Committee for Chemistry; Hans Ellegren, permanent ...

It took decades of painstaking research to map the structure of just 17 per cent of the proteins used within the human body, but less than a year for UK-based AI company DeepMind to raise that ...

But its success at protein structure prediction, which it achieved using a neural network called AlphaFold2, represented the first time it had built a model that could solve a problem of real ...