Databases, Chemical
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Subject Areas on Research
- Active learning for computational chemogenomics.
- Active-learning strategies in computer-assisted drug discovery.
- Artificial intelligence in chemistry and drug design.
- Customized Consensus Spectral Library Building for Untargeted Quantitative Metabolomics Analysis with Data Independent Acquisition Mass Spectrometry and MetaboDIA Workflow.
- Discovery of Key Physicochemical, Structural, and Spatial Properties of RNA-Targeted Bioactive Ligands.
- Ion mobility derived collision cross sections to support metabolomics applications.
- Selection of Informative Examples in Chemogenomic Datasets.
- Speckle modulation enables high-resolution wide-field human brain tumor margin detection and in vivo murine neuroimaging.
- Systematic functional profiling of transcription factor networks in Cryptococcus neoformans.