Leveraging AI and quantum calculations, scientists developed a new tool that yielded higher-quality structural information and solved notoriously elusive proteins.

Structural biology is shifting from predicting protein shapes to uncovering broader organizational rules; AI tools like AlphaFold have made large-scale protein structure data far ...

A new collaboration between EMBL's European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National University has made millions of AI-predicted protein complex structures ...

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational ...

A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only of short sequence motifs, but also of the chemical characteristics.

A team of US researchers has gained new insights into how large protein molecules consistently fold themselves into useful shapes. Using a new approach to fluorescence microscopy, Hoi Sung Chung and ...

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

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AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

A long-standing goal of neuroscience is to understand how molecules and cellular structures on a microscale give rise to communication between brain regions at the macroscale. Now, a study ...