Advancements in artificial intelligence (AI) are dramatically transforming the field of protein science, offering powerful tools to tackle its longstanding ...

In the last two decades, a lot of protein 3D shapes have been discovered, characterized, and made available thanks to the Protein Data Bank (PDB), that is nevertheless growing very quickly. New ...

To solve this problem, we propose a graph neural network (GNNGO3D) that combines the three-dimensional structure and functional hierarchy learning. GNNGO3D simultaneously uses three kinds of ...

Oregon Health & Science University, in collaboration with Oregon State University, has discovered the structural organization and protein components of a lipid-transfer complex known as LPD-3 ...

This review provides a comprehensive guide to applying deep learning methodologies and tools in protein structure prediction. We initially outline the databases related to the protein structure ...

The physical interactome of a protein can be altered upon perturbation, modulating cell physiology and contributing to disease. Identifying interactome differences of normal and disease states of ...

Low-density lipoproteins (LDL)—commonly known as bad cholesterol—have long been on scientists' radar as a major contributor to heart disease. But these microscopic troublemakers have hidden ...

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 folding gives many proteins their final shape; however, some proteins consist of more than just a tertiary structure. Quaternary Structure of a Protein The quaternary structure of a protein ...

Researchers from UC Berkeley and UCSF introduce ProteinZen, a two-stage generative framework that combines flow matching for backbone frames with latent space modeling to achieve precise all-atom ...

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein ...

Researchers who developed protein folding software, and used it to predict new, useful proteins win the Nobel.