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Machine learning methods are widely used in bioinformatics and computational and systems biology. Here, we review the development of machine learning methods for protein structure prediction, one of ...
In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...
Scientists have discovered how a key protein helps maintain strong connections between brain cells that are crucial for ...
A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.
Advancements in artificial intelligence (AI) are dramatically transforming the field of protein science, offering powerful ...
Levels of protein structure Proteins are large molecules formed from condensation reactions between amino acids. They have complex shapes that allow them to facilitate various reactions in living ...
The quaternary structure of a protein involves the assembly of multiple polypeptide chains into a functional protein complex. Not all proteins have a quaternary structure, but here are some examples ...
Adding quaternary structure information on the whole proteomes is a challenging problem (and the manuscript would benefit from a more comprehensive introduction section presenting these challenges).
Some proteins, such as haemoglobin, present a more complex 3D structure, called quaternary structure, given by the aggregation of folded protein chains. Given these, where does the functionality of ...
However, AlphaFold2 was not designed to address something called the quaternary structure of proteins, where multiple protein subunits form a larger protein.
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The quaternary protein structure refers to the orientation and arrangement of subunits in proteins with multi-subunits. This is only relevant for proteins with multiple polypeptide chains.