Literature DB >> 31341084

Assembling multidomain protein structures through analogous global structural alignments.

Xiaogen Zhou1,2, Jun Hu1, Chengxin Zhang2, Guijun Zhang3, Yang Zhang4,5.   

Abstract

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.

Entities:  

Keywords:  domain assembly; multidomain protein; multidomain template recognition; protein structure prediction

Year:  2019        PMID: 31341084      PMCID: PMC6689945          DOI: 10.1073/pnas.1905068116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

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5.  Scoring function for automated assessment of protein structure template quality.

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Journal:  Proteins       Date:  2004-12-01

6.  Replica Monte Carlo simulation of spin glasses.

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7.  Protein homology detection by HMM-HMM comparison.

Authors:  Johannes Söding
Journal:  Bioinformatics       Date:  2004-11-05       Impact factor: 6.937

8.  Toward high-resolution de novo structure prediction for small proteins.

Authors:  Philip Bradley; Kira M S Misura; David Baker
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9.  Prediction of structures of multidomain proteins from structures of the individual domains.

Authors:  Andrew M Wollacott; Alexandre Zanghellini; Paul Murphy; David Baker
Journal:  Protein Sci       Date:  2006-12-22       Impact factor: 6.725

10.  TM-align: a protein structure alignment algorithm based on the TM-score.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Nucleic Acids Res       Date:  2005-04-22       Impact factor: 16.971

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  20 in total

1.  DOME: recommendations for supervised machine learning validation in biology.

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3.  Homology modeling and global computational mutagenesis of human myosin VIIa.

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4.  Progressive assembly of multi-domain protein structures from cryo-EM density maps.

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Review 5.  I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction.

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Journal:  Nat Protoc       Date:  2022-08-05       Impact factor: 17.021

6.  A combined in silico and in vivo approach to the structure-function annotation of SPD-2 provides mechanistic insight into its functional diversity.

Authors:  Mikaela Murph; Shaneen Singh; Mara Schvarzstein
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7.  A New Protocol for Atomic-Level Protein Structure Modeling and Refinement Using Low-to-Medium Resolution Cryo-EM Density Maps.

Authors:  Biao Zhang; Xi Zhang; Robin Pearce; Hong-Bin Shen; Yang Zhang
Journal:  J Mol Biol       Date:  2020-08-06       Impact factor: 5.469

8.  Physics-based protein structure refinement in the era of artificial intelligence.

Authors:  Lim Heo; Giacomo Janson; Michael Feig
Journal:  Proteins       Date:  2021-06-29

9.  Protein structure prediction using deep learning distance and hydrogen-bonding restraints in CASP14.

Authors:  Wei Zheng; Yang Li; Chengxin Zhang; Xiaogen Zhou; Robin Pearce; Eric W Bell; Xiaoqiang Huang; Yang Zhang
Journal:  Proteins       Date:  2021-08-07

10.  Reconstruction of Coupled Intra- and Interdomain Protein Motion from Nuclear and Electron Magnetic Resonance.

Authors:  Alexandra Born; Janne Soetbeer; Frauke Breitgoff; Morkos A Henen; Nikolaos Sgourakis; Yevhen Polyhach; Parker J Nichols; Dean Strotz; Gunnar Jeschke; Beat Vögeli
Journal:  J Am Chem Soc       Date:  2021-09-27       Impact factor: 16.383

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