2021
Image Processing in Cryo-Electron Microscopy of Single Particles: The Power of Combining Methods
S. SORZANO, Carlos Oscar, Amaya JIMÉNEZ-MORENO, David MALUENDA, Erney RAMÍREZ-APORTELA, Marta MARTÍNEZ et. al.Základní údaje
Originální název
Image Processing in Cryo-Electron Microscopy of Single Particles: The Power of Combining Methods
Autoři
S. SORZANO, Carlos Oscar, Amaya JIMÉNEZ-MORENO, David MALUENDA, Erney RAMÍREZ-APORTELA, Marta MARTÍNEZ, Ana CUERVO, Roberto MELERO, Jose Javier CONESA, Ruben SÁNCHEZ-GARCÍA, David STŘELÁK (203 Česká republika, domácí), Jiří FILIPOVIČ (203 Česká republika, garant, domácí), Estrella FERNÁNDEZ-GIMÉNEZ, Federico DE ISIDRO-GÓMEZ, David HERREROS, Pablo CONESA, Laura DEL CAÑO, Yunior FONSECA, Jorge JIMÉNEZ DE LA MORENA, Jose Ramon MACÍAS, Patricia LOSANA, Roberto MARABINI a Jose-Maria CARAZO
Vydání
Clifton, N.J. Structural Proteomics, od s. 257-289, 33 s. Methods in Molecular Biology, 2021
Nakladatel
Springer US
Další údaje
Jazyk
angličtina
Typ výsledku
Kapitola resp. kapitoly v odborné knize
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Kód RIV
RIV/00216224:14330/21:00122290
Organizační jednotka
Fakulta informatiky
ISBN
978-1-0716-1405-1
UT WoS
000691017300014
Klíčová slova anglicky
Cryo-electron microscopy; Image processing; Scipion; Single particle
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 23. 5. 2022 14:58, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
Cryo-electron microscopy has established as a mature structural biology technique to elucidate the three-dimensional structure of biological macromolecules. The Coulomb potential of the sample is imaged by an electron beam, and fast semi-conductor detectors produce movies of the sample under study. These movies have to be further processed by a whole pipeline of image-processing algorithms that produce the final structure of the macromolecule. In this chapter, we illustrate this whole processing pipeline putting in value the strength of "meta algorithms," which are the combination of several algorithms, each one with different mathematical rationale, in order to distinguish correctly from incorrectly estimated parameters. We show how this strategy leads to superior performance of the whole pipeline as well as more confident assessments about the reconstructed structures. The "meta algorithms" strategy is common to many fields and, in particular, it has provided excellent results in bioinformatics. We illustrate this combination using the workflow engine, Scipion.
Návaznosti
EF16_013/0001802, projekt VaV |
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MUNI/A/1411/2019, interní kód MU |
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