Literature DB >> 30368849

MDockPeP: An ab-initio protein-peptide docking server.

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.
© 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  complex structure prediction; molecular docking; molecular modeling; protein-peptide interactions; web server

Mesh:

Substances:

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


  20 in total

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