Avner Schlessinger

This study identifies small molecule inhibitors of the NaCT transporter by targeting an allosteric site, revealing a chemically distinct series with improved potency.

The paper identifies R92 as a key residue in GIRK2 channels that modulates both PIP2-dependent and independent gating mechanisms through experimental and structural analyses.

This study investigates cholesterol binding to LAT1 using computational methods, identifying key binding sites and their stabilizing effects on LAT1 structure and function.

KinAce integrates kinase-substrate interactions from multiple databases to enable visual exploration in systems contexts.

LoGoFunc predicts pathogenic gain- and loss-of-function variants using ensemble learning with diverse biological features, outperforming existing tools.

This study evaluates AI-generated kinase structures to explore underrepresented conformational states, showing that reducing MSA depth in AlphaFold2 can predict novel conformations for 398 kinases.

The paper investigates the functional consequences of SLC6A1 variants, finding haploinsufficiency underlies neurodevelopmental phenotypes and identifying missense residues sensitive to substitution.

This paper introduces structural gene expression signatures (sGES) derived from protein structure features, showing their utility in identifying robust biological signatures across datasets and experimental platforms.

PredictProtein provides protein sequence analysis tools, offering structure and function predictions with updates including deep learning and DNA/RNA/protein binding predictions.

The paper uses iPSC-derived neurons from Christianson syndrome patients to show allele-specific responses to rescue strategies, highlighting the need for personalized therapeutic approaches.

The paper identifies gene- and protein-level features distinguishing gain-of-function and loss-of-function mutations using NLP and machine learning on a new database of pathogenic mutations.

The paper develops a platform combining Drosophila models and computational methods to identify novel chemicals targeting a kinase network in Medullary Thyroid Cancer.