The three-dimensional shape of a protein can be used to resolve deep, ancient evolutionary relationships in the tree of life, ...

Proteins are the end products of the decoding process that starts with the information in cellular DNA. As workhorses of the cell, proteins compose structural and motor elements in the cell, and ...

Federal science agencies have renewed and increased funding for a world-renowned digital archive of protein structures housed ...

A new technology developed at MIT enables scientists to label proteins across millions of individual cells in fully intact 3D tissues with unprecedented speed, uniformity, and versatility.

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 ...

Changes in the spatial structure of proteins can also be easily detected with ONE microscopy. In a collaboration with colleagues from Göttingen and Kassel, molecular protein aggregates, which are ...

The article broadly covers the integration of deep learning techniques in the field of protein structure prediction, ...

Proteins are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...

No large RNA structure database exists that correlates sequence with 3D topology. Successful protein-centric methods like AlphaFold remain unavailable for RNA, creating a critical gap in ...

The sequence of amino acids in the chain determines how the chain will fold up to make the protein, so different proteins have different three-dimensional shapes. The three-dimensional shape of a ...