A hidden structure inside the cell is rewriting how scientists understand leukemia. Beneath the microscope, what looked like ...

SDSC provides high-performance computing and data infrastructure that support researchers doing molecular modeling and ...

A hidden structure inside the cell is rewriting how scientists understand leukemia. Beneath the microscope, what looked like disorder turned out to ...

Scientists at the University of Glasgow have developed a machine learning model called PLM-Interact using a supercomputer to study protein interactions. This model predicts protein interactions with ...

Priority Research Communication by Professor Yogesh Dwivedi and colleagues at the University of Alabama at Birmingham reports original, peer-reviewed findings demonstrating that long noncoding RNAs ...

Florida Atlantic University neuroscientists have uncovered a surprising role for a protein named "Frazzled" (known as DCC in ...

Abstract: Protein inverse folding aims to identify viable amino acid sequences that can fold into given protein structures, enabling the design of novel proteins with desired functions for ...

From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance ...

Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...

This important study presents a thoughtful design and characterization of chimeric influenza hemagglutinin (HA) head domains combining elements of distinct receptor-binding sites. The results provide ...

New research from the University of Wisconsin–Madison reveals that dysfunction in a protein essential to maintaining ...

With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...