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Items: 1 to 20 of 182

1.

Denoising of high-resolution single-particle electron-microscopy density maps by their approximation using three-dimensional Gaussian functions.

Jonić S, Vargas J, Melero R, Gómez-Blanco J, Carazo JM, Sorzano CO.

J Struct Biol. 2016 Jun;194(3):423-33. doi: 10.1016/j.jsb.2016.04.007. Epub 2016 Apr 13.

PMID:
27085420
2.

Versatility of Approximating Single-Particle Electron Microscopy Density Maps Using Pseudoatoms and Approximation-Accuracy Control.

Jonić S, Sorzano CO.

Biomed Res Int. 2016;2016:7060348. doi: 10.1155/2016/7060348. Epub 2016 Dec 21. Review.

3.

Principles of cryo-EM single-particle image processing.

Sigworth FJ.

Microscopy (Oxf). 2016 Feb;65(1):57-67. doi: 10.1093/jmicro/dfv370. Epub 2015 Dec 24. Review.

4.

Single-particle cryo-electron microscopy of macromolecular complexes.

Skiniotis G, Southworth DR.

Microscopy (Oxf). 2016 Feb;65(1):9-22. doi: 10.1093/jmicro/dfv366. Epub 2015 Nov 25. Review.

5.

Analyses of subnanometer resolution cryo-EM density maps.

Baker ML, Baker MR, Hryc CF, Dimaio F.

Methods Enzymol. 2010;483:1-29. doi: 10.1016/S0076-6879(10)83001-0.

6.

Cryo-EM of macromolecular assemblies at near-atomic resolution.

Baker ML, Zhang J, Ludtke SJ, Chiu W.

Nat Protoc. 2010 Sep;5(10):1697-708. doi: 10.1038/nprot.2010.126. Epub 2010 Sep 30.

7.

EMatch: an efficient method for aligning atomic resolution subunits into intermediate-resolution cryo-EM maps of large macromolecular assemblies.

Dror O, Lasker K, Nussinov R, Wolfson H.

Acta Crystallogr D Biol Crystallogr. 2007 Jan;63(Pt 1):42-9. Epub 2006 Dec 13.

8.

A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy.

Zhu Y, Ouyang Q, Mao Y.

BMC Bioinformatics. 2017 Jul 21;18(1):348. doi: 10.1186/s12859-017-1757-y.

9.

Atomic Resolution Cryo-EM Structure of β-Galactosidase.

Bartesaghi A, Aguerrebere C, Falconieri V, Banerjee S, Earl LA, Zhu X, Grigorieff N, Milne JLS, Sapiro G, Wu X, Subramaniam S.

Structure. 2018 Jun 5;26(6):848-856.e3. doi: 10.1016/j.str.2018.04.004. Epub 2018 May 10.

PMID:
29754826
10.

How cryo-EM is revolutionizing structural biology.

Bai XC, McMullan G, Scheres SH.

Trends Biochem Sci. 2015 Jan;40(1):49-57. doi: 10.1016/j.tibs.2014.10.005. Epub 2014 Nov 7. Review.

PMID:
25544475
11.

Current approaches for the fitting and refinement of atomic models into cryo-EM maps using CCP-EM.

Nicholls RA, Tykac M, Kovalevskiy O, Murshudov GN.

Acta Crystallogr D Struct Biol. 2018 Jun 1;74(Pt 6):492-505. doi: 10.1107/S2059798318007313. Epub 2018 May 30. Review.

12.
13.

How good can cryo-EM become?

Glaeser RM.

Nat Methods. 2016 Jan;13(1):28-32. doi: 10.1038/nmeth.3695.

PMID:
26716559
14.

GraFix: stabilization of fragile macromolecular complexes for single particle cryo-EM.

Stark H.

Methods Enzymol. 2010;481:109-26. doi: 10.1016/S0076-6879(10)81005-5.

PMID:
20887855
15.

Accurate model annotation of a near-atomic resolution cryo-EM map.

Hryc CF, Chen DH, Afonine PV, Jakana J, Wang Z, Haase-Pettingell C, Jiang W, Adams PD, King JA, Schmid MF, Chiu W.

Proc Natl Acad Sci U S A. 2017 Mar 21;114(12):3103-3108. doi: 10.1073/pnas.1621152114. Epub 2017 Mar 7.

16.

Sample preparation of biological macromolecular assemblies for the determination of high-resolution structures by cryo-electron microscopy.

Stark H, Chari A.

Microscopy (Oxf). 2016 Feb;65(1):23-34. doi: 10.1093/jmicro/dfv367. Epub 2015 Dec 15. Review.

PMID:
26671943
17.

Structure, assembly and dynamics of macromolecular complexes by single particle cryo-electron microscopy.

Durand A, Papai G, Schultz P.

J Nanobiotechnology. 2013;11 Suppl 1:S4. doi: 10.1186/1477-3155-11-S1-S4. Epub 2013 Dec 10.

18.

A Bayesian view on cryo-EM structure determination.

Scheres SH.

J Mol Biol. 2012 Jan 13;415(2):406-18. doi: 10.1016/j.jmb.2011.11.010. Epub 2011 Nov 12.

19.

Constructing and validating initial Cα models from subnanometer resolution density maps with pathwalking.

Baker MR, Rees I, Ludtke SJ, Chiu W, Baker ML.

Structure. 2012 Mar 7;20(3):450-63. doi: 10.1016/j.str.2012.01.008.

20.

A blind deconvolution approach for improving the resolution of cryo-EM density maps.

Hirsch M, Schölkopf B, Habeck M.

J Comput Biol. 2011 Mar;18(3):335-46. doi: 10.1089/cmb.2010.0264.

PMID:
21385038

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