OpenProtein.AI is helping biologists stay on the cutting edge of AI with a no-code platform for protein engineering.

Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

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In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

Researchers created “Sequence Display,” a method that generates millions of protein activity data points, allowing AI models ...

A multidisciplinary research team at the Rockefeller University, Vanderbilt University Medical Center, and Vanderbilt University, has developed a discovery platform that can probe the function of ...

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating ...

Recent advances in high-throughput proteomics enable the measurement of thousands of proteins simultaneously, offering ...

A novel artificial intelligence (AI) tool has revealed how disease-linked proteins misfold into harmful structures, a key advance in understanding neurodegenerative disorders such as Alzheimer's and ...