Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …

Although our knowledge of human diseases has increased dramatically, the molecular
basis, phenotypic traits, and therapeutic targets of most diseases still remain unclear. An …

Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …

Abstract The public Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) is an
innovative digital ecosystem that relates toxicological information for chemicals, genes …

Despite the widespread success of self-supervised learning via masked language models
(MLM), accurately capturing fine-grained semantic relationships in the biomedical domain …

Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) is a premier
public resource for literature-based, manually curated associations between chemicals …

Pretrained language models have served as important backbones for natural language
processing. Recently, in-domain pretraining has been shown to benefit various domain …

Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) provides
information about interactions between chemicals and gene products, and their …

Abstract Information encoded in natural language in biomedical literature publications is
only useful if efficient and reliable ways of accessing and analyzing that information are …

Prior biological knowledge and phenotype information may help to identify disease genes
from human whole-genome and whole-exome sequencing studies. We developed …