Recovering the Missing Regions in Crystal Structures from the Nuclear Magnetic Resonance Measurement Data Using Matrix Completion Method

Zhicheng Li, Shijian Li, Xian Wei, Xubiao Peng, Qing Zhao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Based on matrix completion algorithm, we proposed a simple method to recover the missing regions in the X-ray crystal structures using the corresponding nuclear magnetic resonance (NMR) measurement data for the proteins with both X-ray and NMR experimental data deposited in Protein Data Bank (PDB). By selecting 10 test proteins deposited in PDB and comparing with the standard MODELLER results from the root-mean-square deviation and MolProbity aspects, we validated that our method can provide a better protein structure model, which combines both X-ray crystallographic structure data and NMR data together than MODELLER algorithm. This method is particularly useful for building the initial structures in Molecular Dynamics when studying the protein folding process.

Original languageEnglish
Pages (from-to)709-717
Number of pages9
JournalJournal of Computational Biology
Volume27
Issue number5
DOIs
Publication statusPublished - May 2020

Keywords

  • NMR data
  • matrix completion
  • missing residues
  • protein crystal structure

Fingerprint

Dive into the research topics of 'Recovering the Missing Regions in Crystal Structures from the Nuclear Magnetic Resonance Measurement Data Using Matrix Completion Method'. Together they form a unique fingerprint.

Cite this