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 a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

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 ...

Overview: Data science certifications help build practical skills needed across industries in 2026.Courses now focus more on real projects and workplace-ready l ...

We are in the midst of an unstructured data revolution – with 80% of data likely to be unstructured by 2025, according to IDC. The rise of advanced analytics and in particular artificial ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

The Department of Chemistry and Materials Science is looking for: ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...

When teachers have used scarce professional learning time to analyze student-assessment data, achievement results have often been mixed. And that’s despite the fact that teacher collaboration itself ...