Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Protein molecules can have complicated structures that dictate their functions. Christoph Burgstedt/Science Photo Library via Getty Images Although the Nobel Prizes in physics and chemistry are ...

Snekmer is an application for building and searching protein family models and novel sequence clusters. Credit: Jason McDermott, Pacific Northwest National Laboratory Snekmer is an application for ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

Design of protein rotors made by Univ. of Washington researchers at the Institute for Protein Design. (IPD Image) The scientists at the University of Washington’s Institute for Protein Design are on a ...

Over the past two years, machine learning has revolutionized protein structure prediction. Now there's a similar revolution in protein design. Biologists show that machine learning can be used to ...

With protein popping up in more places, it would be hard to deny the power of protein in today’s new product development.

The first components of a molecular engine – self-assembling axles and rotors made of specially designed proteins – have been created entirely from scratch. “We are starting very simply,” says Alexis ...