Designing de novo proteins holds immense potential for achieving superior combinations of novel functions and mechanical properties, thereby advancing biological and engineering applications. However, ...

Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA sequence. When you purchase through links on our site, we may earn an affiliate ...

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 ...

Results of thioflavin T fluorescence analyses revealed a drastic increase in the fluorescence intensity when BSA was mixed with ultra-small (10 nm) silica nanoparticles (NPs) with a stirring time of ...

Doubly stapled α-helix consisting only of achiral amino acids. Its one-handed form can be isolated because the interconversion between the right- and left-handed forms is almost completely suppressed.

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

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 ...

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 ...

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...