Here, by using a deep-learning network that already captures general principles of protein structure, we eliminate the need for fold-specific rules and open up the possibility of focusing on just ...

A machine learning approach could allow computers to determine the electronic structure of molecules without having to use the most resource-intensive equations of density functional theory ...

Scientists have successfully tested the use of machine learning models to guide the design ... including multiple linear regression (MLR), random forest (RF), light gradient boosting machine ...

Open any introductory biology textbook, and you'll see a familiar diagram: A blobby-looking cell filled with brightly colored structures ... "By using machine learning to process the data ...

The researchers began with a pool of 1083 hypothetical Haeckelite structures, each composed of two different elements in a square-octagonal arrangement. Using machine learning models trained on ...