Parakeet: a digital twin software pipeline to assess the impact of experimental parameters on tomographic reconstructions for cryo-electron tomography.


Journal

Open biology
ISSN: 2046-2441
Titre abrégé: Open Biol
Pays: England
ID NLM: 101580419

Informations de publication

Date de publication:
10 2021
Historique:
pubmed: 27 10 2021
medline: 3 3 2022
entrez: 26 10 2021
Statut: ppublish

Résumé

In cryo-electron tomography (cryo-ET) of biological samples, the quality of tomographic reconstructions can vary depending on the transmission electron microscope (TEM) instrument and data acquisition parameters. In this paper, we present Parakeet, a 'digital twin' software pipeline for the assessment of the impact of various TEM experiment parameters on the quality of three-dimensional tomographic reconstructions. The Parakeet digital twin is a digital model that can be used to optimize the performance and utilization of a physical instrument to enable

Identifiants

pubmed: 34699732
doi: 10.1098/rsob.210160
pmc: PMC8548082
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

210160

Références

Acta Crystallogr D Biol Crystallogr. 2006 Sep;62(Pt 9):1030-8
pubmed: 16929104
J Struct Biol. 2017 Feb;197(2):191-198
pubmed: 27313000
Ultramicroscopy. 2014 Feb;137:20-9
pubmed: 24275523
IUCrJ. 2019 Jan 01;6(Pt 1):5-17
pubmed: 30713699
Nat Commun. 2021 Mar 30;12(1):1957
pubmed: 33785757
Nat Struct Mol Biol. 2009 May;16(5):528-33
pubmed: 19363482
J Synchrotron Radiat. 2018 Nov 1;25(Pt 6):1847-1859
pubmed: 30407198
Methods Enzymol. 2010;482:1-33
pubmed: 20888956
J Struct Biol. 2009 Nov;168(2):305-12
pubmed: 19666126
J Struct Biol. 2017 Sep;199(3):187-195
pubmed: 28743638
J Struct Biol. 2015 Nov;192(2):146-50
pubmed: 25882513
PLoS One. 2014 Oct 03;9(10):e108978
pubmed: 25279759
Ultramicroscopy. 2006 Oct-Nov;106(11-12):994-1000
pubmed: 16890358
Ultramicroscopy. 1995 Oct;60(3):393-410
pubmed: 8525550
Ultramicroscopy. 2015 Sep;156:9-17
pubmed: 25965576
Acta Crystallogr D Biol Crystallogr. 2011 Apr;67(Pt 4):355-67
pubmed: 21460454
Q Rev Biophys. 1988 May;21(2):129-228
pubmed: 3043536
Acta Crystallogr D Struct Biol. 2020 Aug 1;76(Pt 8):724-728
pubmed: 32744254
J Synchrotron Radiat. 2014 Sep;21(Pt 5):1188-93
pubmed: 25178011
Nat Methods. 2019 Jun;16(6):471-477
pubmed: 31086343
Ultramicroscopy. 2008 Aug;108(9):921-8
pubmed: 18508199
Acta Crystallogr D Struct Biol. 2017 Jun 1;73(Pt 6):469-477
pubmed: 28580908
Ultramicroscopy. 2014 Dec;147:137-48
pubmed: 25194826
Nucleic Acids Res. 2000 Jan 1;28(1):235-42
pubmed: 10592235
Methods. 2016 May 1;100:3-15
pubmed: 26931652
J Appl Crystallogr. 2018 Mar 28;51(Pt 2):552-559
pubmed: 29657569
J Chem Inf Model. 2020 May 26;60(5):2605-2613
pubmed: 32202786
J Microsc. 2015 Jan;261(1):36-45
pubmed: 26367127
J Nanobiotechnology. 2011 May 11;9:17
pubmed: 21569366
J Struct Biol. 2006 Jan;153(1):55-63
pubmed: 16343945
Trends Cell Biol. 1999 Feb;9(2):81-5
pubmed: 10087625
Nat Commun. 2020 Feb 13;11(1):876
pubmed: 32054835
Ultramicroscopy. 2019 Aug;203:125-131
pubmed: 30773415
Ultramicroscopy. 2003 Sep;96(3-4):413-31
pubmed: 12871805
Proc Natl Acad Sci U S A. 2006 Mar 28;103(13):4912-7
pubmed: 16549763
Elife. 2018 Nov 09;7:
pubmed: 30412051
Histochem Cell Biol. 2008 Nov;130(5):877-89
pubmed: 18795316
Ultramicroscopy. 2011 Apr;111(5):330-6
pubmed: 21396527
Ultramicroscopy. 2015 Oct;157:35-47
pubmed: 26057688
J Struct Biol. 2019 Nov 1;208(2):107-114
pubmed: 31425790
J Synchrotron Radiat. 2014 Nov;21(Pt 6):1370-7
pubmed: 25343808
Acta Crystallogr D Biol Crystallogr. 2010 Apr;66(Pt 4):339-51
pubmed: 20382986
Chem Soc Rev. 2007 Sep;36(9):1477-94
pubmed: 17660880
J Struct Biol. 2005 Sep;151(3):288-97
pubmed: 16129619
Ultramicroscopy. 1992 Oct;46(1-4):349-73
pubmed: 1336234
J Synchrotron Radiat. 2016 May;23(Pt 3):842-9
pubmed: 27140167
Methods Enzymol. 2016;579:329-67
pubmed: 27572733
Acta Crystallogr D Biol Crystallogr. 2015 Jan 1;71(Pt 1):136-53
pubmed: 25615868
J Struct Biol. 2010 Feb;169(2):192-9
pubmed: 19818858
Ultramicroscopy. 2007 Jan;107(1):8-15
pubmed: 16730409
Ultramicroscopy. 2009 May;109(6):730-40
pubmed: 19269094

Auteurs

James M Parkhurst (JM)

Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK.
Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.

Maud Dumoux (M)

Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK.

Mark Basham (M)

Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK.
Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.

Daniel Clare (D)

Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.

C Alistair Siebert (CA)

Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.

Trond Varslot (T)

Thermo Fisher Scientific, Vlastimila Pecha, Brno, Czech Republic.

Angus Kirkland (A)

Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK.
Electron Physical Science Imaging Centre, Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.
Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, UK.

James H Naismith (JH)

Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK.
Division of Structural Biology, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.

Gwyndaf Evans (G)

Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK.
Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Databases, Protein Protein Domains Protein Folding Proteins Deep Learning

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature

Classifications MeSH