In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

A team of researchers has developed an innovative imaging platform that promises to improve our understanding of cellular structures at the nanoscale. This platform, called soTILT3D for ...

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 ...

Illustration showing how integrating protein three-dimensional structures with artificial intelligence algorithms can predict synergistic or antagonistic effects of drug combinations, guiding safer ...

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Receptor proteins, expressed on the cell surface or within the cell, bind to different signaling molecules, known as ligands, initiating cellular responses. Taste receptors, expressed in oral tissues, ...

Latent-X generates lab-ready macrocycles and protein mini-binders at all-atom resolution to accelerate drug design The model can be accessed through Latent's web-based platform for push-button protein ...

Late-onset Alzheimer's disease (LOAD) is the most common form of dementia, with symptoms appearing after age 65. Since carriers of clusterin risk alleles have an increased likelihood of developing ...

The X-ray Laboratory of Rigaku Corporation, a Rigaku Holdings Group company and a global solution partner for X-ray analysis (headquarters: Akishima, Tokyo; president and CEO: Jun Kawakami; “Rigaku”), ...