Xiao Fan

Genetic Compensation Restores Embryonic Viability in Fatty Acid Synthase Mutants

The paper identifies genetic suppressors of FASN dysfunction in C. elegans by using temperature-sensitive mutants and CRISPR/Cas9 to rescue embryonic lethality.

SEHI-PPI: An End-to-End Sampling-Enhanced Human-Influenza Protein-Protein Interaction Prediction Framework with Double-View Learning

SEHI-PPI predicts human-influenza protein-protein interactions using a double-view deep learning framework with adaptive negative sampling, outperforming existing methods and demonstrating strong generalizability.

SHINE: Protein Language Model based Pathogenicity Prediction for Inframe Insertion and Deletion Variants

SHINE uses protein language models to predict pathogenicity of inframe insertion and deletion variants, outperforming existing methods in two test datasets.

Predicting functional effect of missense variants using graph attention neural networks

This paper introduces gMVP, a graph attention neural network for predicting the functional effect of missense variants, showing improved performance over existing methods in identifying damaging variants and separating de novo variants in neurodevelopmental disorders.

Genotype and defects in microtubule-based motility correlate with clinical severity in KIF1A Associated Neurological Disorder

This study links KIF1A variants to clinical severity in KAND by analyzing transport defects and protein dysfunction.