| Literature DB >> 30368849 |
Xianjin Xu1, Chengfei Yan1, Xiaoqin Zou1.
Abstract
Protein-peptide interactions play a crucial role in a variety of cellular processes. The protein-peptide complex structure is a key to understand the mechanisms underlying protein-peptide interactions and is critical for peptide therapeutic development. We present a user-friendly protein-peptide docking server, MDockPeP. Starting from a peptide sequence and a protein receptor structure, the MDockPeP Server globally docks the all-atom, flexible peptide to the protein receptor. The produced modes are then evaluated with a statistical potential-based scoring function, ITScorePeP. This method was systematically validated using the peptiDB benchmarking database. At least one near-native peptide binding mode was ranked among top 10 (or top 500) in 59% (85%) of the bound cases, and in 40.6% (71.9%) of the challenging unbound cases. The server can be used for both protein-peptide complex structure prediction and initial-stage sampling of the protein-peptide binding modes for other docking or simulation methods. MDockPeP Server is freely available at http://zougrouptoolkit.missouri.edu/mdockpep.Entities:
Keywords: complex structure prediction; molecular docking; molecular modeling; protein-peptide interactions; web server
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Year: 2018 PMID: 30368849 PMCID: PMC6226323 DOI: 10.1002/jcc.25555
Source DB: PubMed Journal: J Comput Chem ISSN: 0192-8651 Impact factor: 3.376