A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

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 ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

In 2023, scientists in the joint School of Engineering and School of Life Sciences Laboratory of Protein Design and Immunoengineering (LPDI), led by Bruno Correia, published in Nature a deep-learning ...

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...

Directed Evolution (DE) is a method developed by Nobel laureate Frances Arnold to improve protein fitness for specific applications. However, DE can be less efficient when mutations show epistatic ...

Thanks to a serendipitous discovery and a lot of painstaking work, scientists can now build biohybrid molecules that combine the homing powers of DNA with the broad functional repertoire of proteins - ...

For the Liu Lab, necessity is truly the mother of invention. The researchers were examining how the 3D organization of the ...

A protein that is involved in determining which enzymes cut or unwind DNA during the replication process has been identified in a new study. In a new paper published in Nature Communications, an ...