Konstantin Schütze

Molecular Display of the Animal Meta-Venome for Discovery of Novel Therapeutic Peptides

The paper develops a computational method to design diverse venom libraries and discovers peptides targeting the human itch receptor MRGPRX4.

LambdaPP: Fast and accessible protein-specific phenotype predictions

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

Nearest neighbor search on embeddings rapidly identifies distant protein relations

The paper explores using protein embeddings for nearest neighbor search to detect remote homology, highlighting challenges with multi-domain proteins and proposing solutions.

ColabFold - Making protein folding accessible to all

ColabFold couples 40–60-fold faster MMseqs2 homology search to AlphaFold2, matching it on CASP14 and AlphaFold-multimer on ClusPro complexes, yielding close to 1,000 structures daily per GPU.

Clustering FunFams using sequence embeddings improves EC purity

The paper improves the purity of protein functional families by clustering them using sequence embeddings, doubling the number of pure clusters per family.

PredictProtein - Predicting Protein Structure and Function for 29 Years

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