Literature DB >> 20827723

Determining macromolecular assembly structures by molecular docking and fitting into an electron density map.

Keren Lasker1, Andrej Sali, Haim J Wolfson.   

Abstract

Structural models of macromolecular assemblies are instrumental for gaining a mechanistic understanding of cellular processes. Determining these structures is a major challenge for experimental techniques, such as X-ray crystallography, NMR spectroscopy and electron microscopy (EM). Thus, computational modeling techniques, including molecular docking, are required. The development of most molecular docking methods has so far been focused on modeling of binary complexes. We have recently introduced the MultiFit method for modeling the structure of a multisubunit complex by simultaneously optimizing the fit of the model into an EM density map of the entire complex and the shape complementarity between interacting subunits. Here, we report algorithmic advances of the MultiFit method that result in an efficient and accurate assembly of the input subunits into their density map. The successful predictions and the increasing number of complexes being characterized by EM suggests that the CAPRI challenge could be extended to include docking-based modeling of macromolecular assemblies guided by EM.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20827723      PMCID: PMC2952722          DOI: 10.1002/prot.22845

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  47 in total

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Authors:  W Wriggers; R A Milligan; J A McCammon
Journal:  J Struct Biol       Date:  1999 Apr-May       Impact factor: 2.867

2.  M-ZDOCK: a grid-based approach for Cn symmetric multimer docking.

Authors:  Brian Pierce; Weiwei Tong; Zhiping Weng
Journal:  Bioinformatics       Date:  2004-12-21       Impact factor: 6.937

3.  Assessing predictions of protein-protein interaction: the CAPRI experiment.

Authors:  Joël Janin
Journal:  Protein Sci       Date:  2005-02       Impact factor: 6.725

Review 4.  Fitting of high-resolution structures into electron microscopy reconstruction images.

Authors:  Felcy Fabiola; Michael S Chapman
Journal:  Structure       Date:  2005-03       Impact factor: 5.006

Review 5.  Electron cryomicroscopy of biological machines at subnanometer resolution.

Authors:  Wah Chiu; Matthew L Baker; Wen Jiang; Matthew Dougherty; Michael F Schmid
Journal:  Structure       Date:  2005-03       Impact factor: 5.006

6.  Predicting oligomeric assemblies: N-mers a primer.

Authors:  Stephen R Comeau; Carlos J Camacho
Journal:  J Struct Biol       Date:  2005-04-06       Impact factor: 2.867

7.  Prediction of multimolecular assemblies by multiple docking.

Authors:  Yuval Inbar; Hadar Benyamini; Ruth Nussinov; Haim J Wolfson
Journal:  J Mol Biol       Date:  2005-04-13       Impact factor: 5.469

8.  The cell as a collection of protein machines: preparing the next generation of molecular biologists.

Authors:  B Alberts
Journal:  Cell       Date:  1998-02-06       Impact factor: 41.582

9.  Product bound structures of the soluble methane monooxygenase hydroxylase from Methylococcus capsulatus (Bath): protein motion in the alpha-subunit.

Authors:  Matthew H Sazinsky; Stephen J Lippard
Journal:  J Am Chem Soc       Date:  2005-04-27       Impact factor: 15.419

Review 10.  Combining X-ray crystallography and electron microscopy.

Authors:  Michael G Rossmann; Marc C Morais; Petr G Leiman; Wei Zhang
Journal:  Structure       Date:  2005-03       Impact factor: 5.006

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  35 in total

1.  Fitting multimeric protein complexes into electron microscopy maps using 3D Zernike descriptors.

Authors:  Juan Esquivel-Rodríguez; Daisuke Kihara
Journal:  J Phys Chem B       Date:  2012-03-30       Impact factor: 2.991

2.  Integrative structure modeling of macromolecular assemblies from proteomics data.

Authors:  Keren Lasker; Jeremy L Phillips; Daniel Russel; Javier Velázquez-Muriel; Dina Schneidman-Duhovny; Elina Tjioe; Ben Webb; Avner Schlessinger; Andrej Sali
Journal:  Mol Cell Proteomics       Date:  2010-05-27       Impact factor: 5.911

3.  Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling.

Authors:  Sjoerd J de Vries; Isaure Chauvot de Beauchêne; Christina E M Schindler; Martin Zacharias
Journal:  Biophys J       Date:  2016-02-01       Impact factor: 4.033

4.  Mapping the native organization of the yeast nuclear pore complex using nuclear radial intensity measurements.

Authors:  Pascal Vallotton; Sasikumar Rajoo; Matthias Wojtynek; Evgeny Onischenko; Annemarie Kralt; Carina Patrizia Derrer; Karsten Weis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-01       Impact factor: 11.205

Review 5.  Leveraging structure for enzyme function prediction: methods, opportunities, and challenges.

Authors:  Matthew P Jacobson; Chakrapani Kalyanaraman; Suwen Zhao; Boxue Tian
Journal:  Trends Biochem Sci       Date:  2014-07-02       Impact factor: 13.807

6.  SymmRef: a flexible refinement method for symmetric multimers.

Authors:  Efrat Mashiach-Farkash; Ruth Nussinov; Haim J Wolfson
Journal:  Proteins       Date:  2011-06-30

7.  An interaction between DNA polymerase and helicase is essential for the high processivity of the bacteriophage T7 replisome.

Authors:  Arkadiusz W Kulczyk; Barak Akabayov; Seung-Joo Lee; Mihnea Bostina; Steven A Berkowitz; Charles C Richardson
Journal:  J Biol Chem       Date:  2012-09-12       Impact factor: 5.157

Review 8.  Low-resolution structural modeling of protein interactome.

Authors:  Ilya A Vakser
Journal:  Curr Opin Struct Biol       Date:  2013-01-05       Impact factor: 6.809

9.  Bound anions differentially stabilize multiprotein complexes in the absence of bulk solvent.

Authors:  Linjie Han; Suk-Joon Hyung; Jonathan J S Mayers; Brandon T Ruotolo
Journal:  J Am Chem Soc       Date:  2011-06-30       Impact factor: 15.419

Review 10.  Principles for Integrative Structural Biology Studies.

Authors:  Michael P Rout; Andrej Sali
Journal:  Cell       Date:  2019-05-30       Impact factor: 41.582

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