Abstract: Selecting key data subsets for model training is an effective way to improve training efficiency. Existing methods generally utilize a well-trained model to evaluate samples and select ...

DNA inside the nucleus is not packed as a rigid regular fiber-linker histone H1 dynamically binds and loosely "glues" nucleosomes together, creating a dynamic, fluid organization that can still ...

Abstract: Deep learning-based methods for drug target binding affinity (DTA) prediction are improving the efficien cy of drug screening, but some limitations persist in current methodologies. Notably, ...

The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...

Early site preparation works were required for a big capital project site located close to the Arabian Gulf Coast in the Eastern Province of Saudi Arabia. The ground conditions at the delineated area ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

Using artificial intelligence (AI), a team of scientists led by Nobel Prize winner David Baker at the University of Washington has created a computational method for generating proteins that bind and ...

In a study published in Nature Methods, a research group developed a highly sensitive proteomics method called peptide-centric local stability assay (PELSA), which enables the simultaneous ...