Schematic image of X-ray data-enhanced computational method. Image Credit: University of Tokyo The method predicts structures directly from powder X-ray diffraction patterns, which are created when ...

Researchers present ARES (Atomic Rotationally Equivariant Scorer) – a machine learning method that significantly improves the computational prediction of RNA structures over previous approaches. Like ...

Over the past decade, structural biology has been profoundly transformed by advances in computational power, algorithmic ...

Now, a team of scientists at Gladstone Institutes and the Innovative Genomics Institute led by Jennifer Doudna, PhD, have harnessed computational tools to predict the three-dimensional shapes of ...

The prediction of protein structure with the use of artificial intelligence and machine learning (AI–ML) is poised to transform how and when three-dimensional (3D) biostructure information is used in ...

Matthew Addicoat receives funding from EPSRC and the Royal Society. Using computers to carry out protein design and for predicting protein structures are two sides of the same coin. They are ...

Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality ...

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...