Bacterial cell division, a process wherein a single cell divides to form two identical daughter cells, represents one of the ...

In contrast to AI-driven drug discovery companies like Xaira, Recursion, or DeepMind spinout Isomorphic Labs, which focus on ...

David Baker’s lab has successfully designed binders to disordered proteins, expanding therapeutic access to over 50% of the ...

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 ...

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 ...

Abstract Although the αC-β4 loop is a stable feature of all protein kinases, the importance of this motif as a conserved element of secondary structure, as well as its links to the hydrophobic ...

Protein secondary structure prediction plays a pivotal role in deciphering protein function and structure, with implications for drug discovery, functional annotation, and molecular biology research.

The relative positions of protein secondary structures provide crucial constraints for deriving the atomic structure of a protein. In this study, we present a 3D convolutional neural network ...

The 2023 Lasker Award for Basic Medical Research underscores the value of an AI system that predicts the three-dimensional structure of proteins from the one-dimensional sequence of their amino acids.

The Max Planck Institute of Colloids and Interfaces (MPICI) has created a carbohydrate sequence that can fold into a stable secondary structure. To date, self-folding biopolymers had only been ...

Acquiring knowledge of the dynamics and proper-ties that force each protein into a unique secondary structure is highly important in medicine and biotechnology. The majority of existing prediction ...

Micsonai et al. elaborated an automatized binary disorder–order classification method based on the analysis of the far-UV circular dichroism (CD) spectroscopy data. CD is a popular technique for low ...