Researchers from the Swiss Institute of Bioinformatics, Lausanne in Switzerland, used a geometric deep-learning tool that generates "fingerprints" of protein surfaces to describe geometric and ...

The phyllosilicate mineral muscovite mica is widely used as a surface template for the patterning of macromolecules, yet a molecular understanding of its surface chemistry under varying solution ...

Researchers use machine learning to assign ‘fingerprints’ to proteins based on their surface affinity alone, predicting which proteins would interact based on these molecular fingerprints. A study led ...

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

Researchers have published guidelines for the design of new molecules with pharmacological potential for the treatment of a wide range of diseases, including prostate cancer. These peptidic molecules, ...

STARKVILLE, Miss.—A Mississippi State faculty member’s collaborative effort on protein function was featured in a recent issue of Nature Communications and aims to enhance the performance of ...

Fluidic Sciences Ltd, a leader in in‑solution protein interaction analysis, today announced it has purchased the business and assets of Sphere Bio Ltd. The transaction creates a powerful, ...