Astronomers use the term dark energy to refer to energy in the universe that is unaccounted for by ordinary matter but necessary to explain cosmology. Astronomy, however, isn't the only field with ...

Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...

Thank you for creating such amazing web server! I have a question regarding the input in the section of Motif Research. Let's say I want to search a different motif for a determine protein. My protein ...

Inside each cell of the human body are proteins that control which genes are expressed at the right place and time. However, intriguingly, many of the most important proteins involved in gene ...

Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. As molecular modeling gains ever more prominence in understanding cellular processes, ...

Scientists at Walter and Elizabeth Hall Institute (WEHI) have made what they describe as a huge leap forward in the fight against Parkinson’s disease, solving a decades-long mystery by determining the ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

This important work substantially advances our understanding of RNA structure analysis by introducing an innovative method that extends DMS probing to include guanosine residues, thereby enhancing our ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...