This is a paper about MassFormer, a graph transformer model for small molecule mass spectrometry prediction. This research addresses the problem of molecular identification in mass spectrometry data and proposes a novel deep learning approach to predict mass spectra of small molecules. Background: Mass spectrometry (MS) is an analytical technique w...

Overcoming Acquired Resistance in Colorectal Cancer by Targeting LGR4 Research Background: Acquired drug resistance is a major obstacle in cancer treatment and a leading cause of cancer-related deaths. However, the mechanisms of resistance are diverse, and how to specifically target resistant cancer cells remains a significant clinical challenge. A...

Assessing the Risks of Chemical Exposures for Neurodegenerative Diseases Introduction In recent years, many environmental chemicals, from solvents to pesticides, have been implicated in the development and progression of neurodegenerative diseases. However, a systematic approach akin to genome-wide association studies, which have identified dozens ...