Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest questions.

Abstract: This study explores the application of deep learning models to precise protein tertiary structure prediction with emphasis on four cutting-edge models: AlphaFold2, RoseTTAFold, ...

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 ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

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 ...

This valuable work presents an interpretable protein-DNA Energy Associative (IDEA) model for predicting binding sites and affinities of DNA-binding proteins. While the method is convincing, it ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. RNA possesses functional significance that extends beyond the transport of genetic ...

Abstract Protein Structure Scientific Visualization. A visually striking, abstract representation of a protein's tertiary structure, rendered in shades of blue against a dark background. This image ...

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 ...

Ribonucleic acid, commonly known as RNA, is involved in many biological functions, and some, including gene silencing, are utilized to cure diseases. RNA has recently gained attention as a promising ...