Michael Bernhofer

LambdaPP provides fast, accessible protein feature predictions including structure and function, using AI models and embeddings from protein Language Models.

TMvisDB provides a resource for browsing and visualizing predicted transmembrane proteins with topological annotations, using AlphaFold DB and TMbed predictions.

TMbed predicts transmembrane regions using protein language model embeddings, achieving high accuracy and low false positives for proteome-wide analysis.

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

The paper analyzes the impact of common and rare single amino acid variants in helical transmembrane proteins, finding common variants have stronger effects and are enriched in membrane helices, while 7TM proteins are depleted of SAVs.