Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful ...

“That makes sense because modern humans moved out of caves about 60,000 years ago,” added study co-author and Virginia Tech ...

If you use Human1 in your research, please cite: J. L. Robinson, P. Kocabas, H. Wang, P.-E. Cholley, et al. An atlas of human metabolism. Sci. Signal. 13, eaaz1482 ...

Abstract: Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ...

Somatic hypermutation (SHM) of immunoglobulin variable (V) regions modulates antibody-antigen affinity is initiated by activation-induced cytidine deaminase (AID) on single-stranded DNA (ssDNA).

A baby born with a rare and dangerous genetic disease is growing and thriving after getting an experimental gene editing ...

You’ll notice that every physical location has a lot of planes coming in and out of it — a lot of lines connected to every point on your map, which researchers call a graph. To ensure that no two ...

Now, researchers have sequenced the frog’s entire genome for the first time, with the hope that their work can help save the animal. Their research was published in the journal Wellcome Open ...

Graph neural network (GNN) based models have been proposed to alleviate this problem, as they provide geometric extensions to neural networks, enabling models to learn associations within a text.