Florent Laval

The paper investigates how dual-role regulators interact with the Sin3 complex using structural and functional analyses, revealing mechanisms for transcriptional crosstalk.

The paper develops a scalable workflow to reclassify variants of uncertain significance using experimental and predictive evidence, resolving 75% of VUS in 40 genes.

MutPred-PPI predicts interaction-specific effects of missense variants using graph attention networks, showing strong performance on both seen and unseen proteins.

The paper identifies two categories of transcription factor isoforms with distinct molecular functions and shows they contribute to gene regulatory complexity.

The paper uses a yeast two-hybrid screen to identify novel effector-effector interactions in L. pneumophila, doubling the known number of such interactions.

This paper identifies a non-enzymatic HDAC inhibitor with anti-tumor and anti-psychedelic effects, showing reduced gene modulation compared to enzymatic inhibitors.

The paper maps binary SARS-CoV-2 protein interactions with host proteins, identifying key processes like immune signaling and ubiquitination, and suggests therapeutic targets.

The paper evaluates 24 network-based methods for predicting protein-protein interactions across five interactomes, identifies top-performing methods, and validates their predictions experimentally.

ORF Capture-Seq enables targeted full-length isoform sequencing by using cloned ORFs as probes, significantly increasing isoform detection compared to unenriched samples.