The MULTICOM protein tertiary structure prediction system

Jilong Li, Debswapna Bhattacharya, Renzhi Cao, Badri Adhikari, Xin Deng, Jesse Eickholt, Jianlin Cheng

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

With the expansion of genomics and proteomics data aided by the rapid progress of next-generation sequencing technologies, computational prediction of protein three-dimensional structure is an essential part of modern structural genomics initiatives. Prediction of protein structure through understanding of the theories behind protein sequence–structure relationship, however, remains one of the most challenging problems in contemporary life sciences. Here, we describe MULTICOM, a multi-level combination technique, intended to predict moderate- to high-resolution structure of a protein through a novel approach of combining multiple sources of complementary information derived from the experimentally solved protein structures in the Protein Data Bank. The MULTICOM web server is freely available at http://sysbio.rnet.missouri.edu/multicom_toolbox/.

Original languageEnglish
Pages (from-to)29-41
Number of pages13
JournalMethods in Molecular Biology
Volume1137
DOIs
StatePublished - 2014

Keywords

  • Multiple template combination
  • Protein structure prediction
  • Protein tertiary structure
  • Structure quality enhancement
  • Structure quality evaluation
  • Template recognition

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