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Assembling multidomain protein structures through analogous global structural alignments.
Zhou, Xiaogen; Hu, Jun; Zhang, Chengxin; Zhang, Guijun; Zhang, Yang.
Afiliação
  • Zhou X; College of Information Engineering, Zhejiang University of Technology, 310023 HangZhou, China.
  • Hu J; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109.
  • Zhang C; College of Information Engineering, Zhejiang University of Technology, 310023 HangZhou, China.
  • Zhang G; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109.
  • Zhang Y; College of Information Engineering, Zhejiang University of Technology, 310023 HangZhou, China; zgj@zjut.edu.cn zhng@umich.edu.
Proc Natl Acad Sci U S A ; 116(32): 15930-15938, 2019 08 06.
Article em En | MEDLINE | ID: mdl-31341084
Most proteins exist with multiple domains in cells for cooperative functionality. However, structural biology and protein folding methods are often optimized for single-domain structures, resulting in a rapidly growing gap between the improved capability for tertiary structure determination and high demand for multidomain structure models. We have developed a pipeline, termed DEMO, for constructing multidomain protein structures by docking-based domain assembly simulations, with interdomain orientations determined by the distance profiles from analogous templates as detected through domain-level structure alignments. The pipeline was tested on a comprehensive benchmark set of 356 proteins consisting of 2-7 continuous and discontinuous domains, for which DEMO generated models with correct global fold (TM-score > 0.5) for 86% of cases with continuous domains and for 100% of cases with discontinuous domain structures, starting from randomly oriented target-domain structures. DEMO was also applied to reassemble multidomain targets in the CASP12 and CASP13 experiments using domain structures excised from the top server predictions, where the full-length DEMO models showed a significantly improved quality over the original server models. Finally, sparse restraints of mass spectrometry-generated cross-linking data and cryo-EM density maps are incorporated into DEMO, resulting in improvements in the average TM-score by 6.3% and 12.5%, respectively. The results demonstrate an efficient approach to assembling multidomain structures, which can be easily used for automated, genome-scale multidomain protein structure assembly.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article