Konstantin Schütze
Ludwig-Maximilians-Universität München(DE)
Publications by Year
Research Areas
Machine Learning in Bioinformatics, Protein Structure and Dynamics, Genomics and Phylogenetic Studies, Bioinformatics and Genomic Networks, Enzyme Structure and Function
Most-Cited Works
- → ColabFold: making protein folding accessible to all(2022)9,271 cited
- → ColabFold - Making protein folding accessible to all(2021)586 cited
- → PredictProtein - Predicting Protein Structure and Function for 29 Years(2021)262 cited
- → Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets(2021)118 cited
- → Nearest neighbor search on embeddings rapidly identifies distant protein relations(2022)41 cited
- → Clustering FunFams using sequence embeddings improves EC purity(2021)34 cited
- → PredictProtein – Predicting Protein Structure and Function for 29 Years(2021)21 cited
- → LambdaPP : Fast and accessible protein‐specific phenotype predictions(2022)17 cited
- → CD87-positive tumor cells in bone marrow aspirates identified by confocal laser scanning fluorescence microscopy.(1999)11 cited