The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

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 ...

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 ...

The tiny protein known as transthyretin can cause big problems in the body when it misfolds after secretion. While healthy transthyretin moves hormones through blood and spinal fluid, misfolded ...

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

Researchers used cryo-EM to study how the HIV enzyme integrase arranges in 3D to slip its DNA into the host genome and pack ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

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Genes are the building blocks of life, and the genetic code provides the instructions for the complex processes that make organisms function. But how and why did it come to be the way it is? Subscribe ...

The first full-length structures of two heat shock chaperone proteins in a complex reveal the key structural region regulating their function, according to a new study from St. Jude Children's ...