Lukasz Kurgan

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

• RNAdetector: fast and accurate predictor of RNA type-specific binding residues in protein sequences.

  PubMed · 2026-04-23

• Structure-aware geometric graph learning for modeling protease–substrate specificity at scale

  bioRxiv (Cold Spring Harbor Laboratory) · 2026-04-10

• Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases

  Cellular and Molecular Life Sciences · 2026-02-14

• A geometric deep learning framework for genome-wide prediction of enzyme turnover number

  Genome biology · 2026-02-11

• flDPnn3: Fast and Accurate Prediction of Intrinsic Disorder in Protein Sequences

  Journal of Molecular Biology · 2026-01-01

• Comparative assessment of binding residue predictions in intrinsically disordered regions

  Protein Science · 2025-09-13

• Empirical Assessment of Sequence-Based Predictions of Intrinsically Disordered Regions Involved in Phase Separation

  Biomolecules · 2025-07-25 · 2 citations

• KcatNet: A Geometric Deep Learning Framework for Genome- Wide Prediction of Enzyme Catalytic EfficiencyPreprint

  Research Square · 2025-06-25 · 2 citations

• Prediction of nucleic acid binding residues in protein sequences: Recent advances and future prospects

  Current Opinion in Structural Biology · 2025-06-21 · 4 citations

• pLMMoRF: A Web Server That Accurately Predicts Membrane-interacting Molecular Recognition Features by Employing a Protein Language Model

  Journal of Molecular Biology · 2025-05-27 · 2 citations

• KcatNet: A Geometric Deep Learning Framework for Genome-Wide Prediction of Enzyme Catalytic EfficiencyPreprint

  bioRxiv (Cold Spring Harbor Laboratory) · 2025-03-13 · 1 citations

• PROBind: A Web Server for Prediction, Analysis and Visualization of Protein-Protein and Protein-Nucleic Acid Binding ResiduesPreprint

  Genomics Proteomics & Bioinformatics · 2025-02-10 · 2 citations

• Two decades of advances in sequence-based prediction of MoRFs, disorder-to-order transitioning binding regions

  Expert Review of Proteomics · 2025-01-02 · 7 citations

• AlphaFold in protein structure and function prediction

  Computational and Structural Biotechnology Journal · 2025-01-01 · 1 citations

• Comprehensive assessment of AlphaFold’s predictions of secondary structure and solvent accessibility at the amino acid-level in eukaryotic, bacterial and archaeal proteins

  Computational and Structural Biotechnology Journal · 2025-01-01 · 3 citations

• Prediction of Disordered Linear Interacting Peptides with CLIP

  Methods in molecular biology · 2025-01-01

• Identifying hidden moonlighting proteins and protein regions

  Elsevier eBooks · 2025-01-01

• List of contributors

  Elsevier eBooks · 2025-01-01

• Prediction of Intrinsic Disorder Functions with DEPICTER2

  Methods in molecular biology · 2025-01-01

• Prediction of Intrinsically Disordered Lipid Binding Residues with DisoLipPred

  Methods in molecular biology · 2025-01-01