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Tracing Filaments in Simulated and Experimental 3D Cryo-Electron Tomography Maps Using a Fast Dynamic Programming Algorithm

Published online by Cambridge University Press:  30 July 2021

Salim Sazzed ,
Peter Scheible ,
Jing He ,
Manfred Auer  and
Willy Wriggers
Salim Sazzed
Affiliation:
Dept. of Computer Science, Old Dominion University, Norfolk, VA23529, United States
Peter Scheible
Affiliation:
Dept. of Computer Science, Old Dominion University, Norfolk, VA23529, United States
Jing He
Affiliation:
Dept. of Computer Science, Old Dominion University, Norfolk, VA23529, United States
Manfred Auer
Affiliation:
Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA94720, United States
Willy Wriggers
Affiliation:
Dept. of Mechanical & Aerospace Engineering and Institute of Biomedical Engineering, Old Dominion University, Norfolk, VA23529, United States

Abstract

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Type
Cryo-electron Tomography: Present Capabilities and Future Potential
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 3236 - 3237
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Kovacs, J et al. , J. Chem. Inf. Model., 60 (2020) p. 2626.CrossRefGoogle Scholar
Rusu, M et al. , J. Struct. Biol., 178 (2012) p. 121.Google Scholar
Song, J et al. , J. Struct. Biol., 210 (2020) p. 107461.CrossRefGoogle Scholar
The work in this paper was supported in part by NIH R01-GM062968.Google Scholar