PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide–Protein Computational Docking
PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide–Protein Computational Docking
We present a nonredundant benchmark, coined PepPro, for testing peptide–protein docking algorithms. Currently, PepPro contains 89 nonredundant experimentally determined peptide–protein complex structures, with peptide sequence lengths ranging from 5 to 30 amino acids. The benchmark covers peptides with distinct secondary structures, including helix, partial helix, a mixture of helix and β‐sheet, β‐sheet formed through binding, β‐sheet formed through self‐folding, and coil. In addition, unbound proteins' structures are provided for 58 complexes and can be used for testing the ability of a docking algorithm handling the conformational changes of proteins during the binding process. PepPro should benefit the docking community for the development and improvement of peptide docking algorithms. The benchmark is available at http://zoulab.dalton.missouri.edu/PepPro_benchmark. © 2019 Wiley Periodicals, Inc.
- University of Missouri Health System United States
- University of Missouri United States
Molecular Docking Simulation, Computational Chemistry, Protein Conformation, Datasets as Topic, Proteins, Amino Acid Sequence, Peptides
Molecular Docking Simulation, Computational Chemistry, Protein Conformation, Datasets as Topic, Proteins, Amino Acid Sequence, Peptides
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