This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
Interactions between proteins and ligands, including interactions between proteins and other substances such as nucleic acids and ATP, play crucial roles in the activities of organisms. ATP plays ...
The identification of therapeutically interesting compounds from the estimated 10 60 potential drug-like chemicals remains a critical challenge in drug discovery 1. High-throughput screening is widely ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...
The known protein universe just got a lot bigger. A newly released artificial-intelligence tool has generated an atlas of more than one billion predicted protein structures and billions more protein ...
Advances in structural biology have allowed scientists to determine molecular structures with atomic-level detail, sometimes yielding static snapshots that do not reflect the dynamism of proteins.
AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are ...
Researchers from the Institute of Science and Technology Austria (ISTA) together with international collaborators have now combined several methods to shed light on how proteins ‘breathe’ and how some ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results