Chenxi Gao

The paper analyzes insect odorant receptor (OR) diversity across 115 species using sequence, structure, and docking profiles, finding associations with diet and habitat and identifying a conserved Orco domain.

This study introduces CrossVOI, a framework for VOC-OR interaction prediction using protein language models and cross-attention, showing improved performance and interpretability of attention mechanisms in human olfactory receptors.

DIOPT updates its ortholog prediction tool to include more species and algorithms, enhancing its utility for cross-species genomic analysis.

This study develops a transfer learning model to predict volatile-odorant receptor interactions in Diptera, revealing species-specific olfactory preferences and informing pest management strategies.

TF2TG integrates TF-DNA binding, protein-protein interactions, and transcriptomic data to identify and rank potential target genes for Drosophila transcription factors.

CESA identifies potential phospho-specific antibodies from mammalian collections that could be useful for detecting phosphorylated proteins in Drosophila and other species.