Literature DB >> 34845384

Integrative structural modeling of macromolecular complexes using Assembline.

Vasileios Rantos1,2, Kai Karius1,2, Jan Kosinski3,4,5.   

Abstract

Integrative modeling enables structure determination of macromolecular complexes by combining data from multiple experimental sources such as X-ray crystallography, electron microscopy or cross-linking mass spectrometry. It is particularly useful for complexes not amenable to high-resolution electron microscopy-complexes that are flexible, heterogeneous or imaged in cells with cryo-electron tomography. We have recently developed an integrative modeling protocol that allowed us to model multi-megadalton complexes as large as the nuclear pore complex. Here, we describe the Assembline software package, which combines multiple programs and libraries with our own algorithms in a streamlined modeling pipeline. Assembline builds ensembles of models satisfying data from atomic structures or homology models, electron microscopy maps and other experimental data, and provides tools for their analysis. Compared with other methods, Assembline enables efficient sampling of conformational space through a multistep procedure, provides new modeling restraints and includes a unique configuration system for setting up the modeling project. Our protocol achieves exhaustive sampling in less than 100-1,000 CPU-hours even for complexes in the megadalton range. For larger complexes, resources available in institutional or public computer clusters are needed and sufficient to run the protocol. We also provide step-by-step instructions for preparing the input, running the core modeling steps and assessing modeling performance at any stage.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34845384     DOI: 10.1038/s41596-021-00640-z

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  55 in total

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5.  Preparing samples from whole cells using focused-ion-beam milling for cryo-electron tomography.

Authors:  Felix R Wagner; Reika Watanabe; Ruud Schampers; Digvijay Singh; Hans Persoon; Miroslava Schaffer; Peter Fruhstorfer; Jürgen Plitzko; Elizabeth Villa
Journal:  Nat Protoc       Date:  2020-05-13       Impact factor: 13.491

6.  In-cell architecture of the nuclear pore and snapshots of its turnover.

Authors:  Matteo Allegretti; Christian E Zimmerli; Vasileios Rantos; Florian Wilfling; Paolo Ronchi; Herman K H Fung; Chia-Wei Lee; Wim Hagen; Beata Turoňová; Kai Karius; Mandy Börmel; Xiaojie Zhang; Christoph W Müller; Yannick Schwab; Julia Mahamid; Boris Pfander; Jan Kosinski; Martin Beck
Journal:  Nature       Date:  2020-09-02       Impact factor: 49.962

7.  Resolving macromolecular structures from electron cryo-tomography data using subtomogram averaging in RELION.

Authors:  Tanmay A M Bharat; Sjors H W Scheres
Journal:  Nat Protoc       Date:  2016-09-29       Impact factor: 13.491

8.  Structure of paused transcription complex Pol II-DSIF-NELF.

Authors:  Seychelle M Vos; Lucas Farnung; Henning Urlaub; Patrick Cramer
Journal:  Nature       Date:  2018-08-22       Impact factor: 49.962

9.  Structure of human TFIID and mechanism of TBP loading onto promoter DNA.

Authors:  Avinash B Patel; Robert K Louder; Basil J Greber; Sebastian Grünberg; Jie Luo; Jie Fang; Yutong Liu; Jeff Ranish; Steve Hahn; Eva Nogales
Journal:  Science       Date:  2018-11-15       Impact factor: 47.728

10.  In-cell architecture of an actively transcribing-translating expressome.

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Journal:  Science       Date:  2020-07-31       Impact factor: 47.728

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  3 in total

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Journal:  Mol Cell       Date:  2022-01-20       Impact factor: 17.970

Review 2.  Quantitative Cryo-Electron Tomography.

Authors:  Paula P Navarro
Journal:  Front Mol Biosci       Date:  2022-07-06

3.  Predicting the structure of large protein complexes using AlphaFold and Monte Carlo tree search.

Authors:  Patrick Bryant; Gabriele Pozzati; Wensi Zhu; Aditi Shenoy; Petras Kundrotas; Arne Elofsson
Journal:  Nat Commun       Date:  2022-10-12       Impact factor: 17.694

  3 in total

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