scipion-em / scipion-em-continuousflex

Plugin for continuous conformational flexibility analysis containing HEMNMA, StructMap, HEMNMA-3D, TomoFlow, NMMD, and DeepHEMNMA for in vitro and in situ cryo-EM/ET.
GNU General Public License v3.0
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===================== ContinuousFlex plugin

This plugin provides the latest Scipion protocols for cryo-EM continuous conformational flexibility/heterogeneity analysis of biomolecular complexes.

Requirements

Installation

To install the plugin, you have two options:

a) Stable version

Install Scipion3 and use the plugin manager to install the plugin.

b) Developer's version

continuousflex sources will be downloaded automatically with the plugin.

Note: Xmipp and Chimerax plugins should be installed (from Scipion3 plugin manager) to run continuousflex protocols. You should also consider having VMD on your system for visualization. We assume that VMD is installed on your system in "/usr/local/lib/vmd". If VMD is installed but does not work, you may run the command "scipion3 config" and look for VMD_HOME in the config file (the config file is usually at ~/scipion3/config/scipion.conf)

Note: Matlab with its image processing toolbox is optional. It will only be needed if missing-wedge correction using Monte Carlo or volume denoising using BM4D are to be used We assume that Matlab is installed on your system in "~/programs/Matlab". If Matlab is installed but does not work, you may run the command "scipion3 config" and look for MATLAB_HOME in the config file (the config file is usually at ~/scipion3/config/scipion.conf)

Supported versions

versions > 3.3.0

Protocols

Notes:

References

[1] Jin Q, Sorzano CO, de la Rosa-Trevin JM, Bilbao-Castro JR, Nunez-Ramirez R, Llorca O, Tama F, Jonic S: Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure 2014, 22:496-506. [Open-access] <http://www-ext.impmc.upmc.fr/~jonic/Papers/HEMNMA.pdf>__

[2] Jonic S: Computational methods for analyzing conformational variability of macromolecular complexes from cryo-electron microscopy images. Curr Opin Struct Biol 2017, 43:114-121. [Link] <http://dx.doi.org/10.1016/j.sbi.2016.12.011> [Author’s version] <http://www-ext.impmc.upmc.fr/~jonic/Papers/CurrentOpinionStructBiol_Jonic_2017.pdf>

[3] Harastani M, Sorzano CO, Jonic S: Hybrid Electron Microscopy Normal Mode Analysis with Scipion. Protein Sci 2020, 29:223-36. [Open-access] <https://onlinelibrary.wiley.com/doi/epdf/10.1002/pro.3772>__

[4] Sanchez Sorzano CO, Alvarez-Cabrera AL, Kazemi M, Carazo JM, Jonic S: StructMap: Elastic Distance Analysis of Electron Microscopy Maps for Studying Conformational Changes. Biophys J 2016, 110:1753-1765. [Open-access] <http://www-ext.impmc.upmc.fr/~jonic/Papers/StructMap.pdf>__

[5] Harastani M, Eltsov M, Leforestier A, Jonic S: HEMNMA-3D: Cryo Electron Tomography Method Based on Normal Mode Analysis to Study Continuous Conformational Variability of Macromolecular Complexes. Front Mol Biosci 2021, 8:663121. [Open-access] <https://www.frontiersin.org/articles/10.3389/fmolb.2021.663121/abstract>__

[6] Harastani M, Eltsov M, Leforestier A, Jonic S: TomoFlow: Analysis of continuous conformational variability of macromolecules in cryogenic subtomograms based on 3D dense optical flow. J Mol Biol 2021,167381. [Author’s version] <https://hal.archives-ouvertes.fr/hal-03452809> [Journal] <https://doi.org/10.1016/j.jmb.2021.167381>

[7] Vuillemot R, Miyashita O, Tama F, Rouiller I, Jonic S, NMMD: Efficient Cryo-EM Flexible Fitting Based on Simultaneous Normal Mode and Molecular Dynamics atomic displacements. J Mol Biol 2022, 167483. [Author’s version] <https://hal.archives-ouvertes.fr/hal-03577246> [Journal] <https://doi.org/10.1016/j.jmb.2022.167483>

[8] Hamitouche I and Jonic S (2022), DeepHEMNMA: ResNet-based hybrid analysis of continuous conformational heterogeneity in cryo-EM single particle images. Front. Mol. Biosci. 9:965645. [Author’s version] <https://hal.archives-ouvertes.fr/hal-03750789/document> [Journal] <https://www.frontiersin.org/articles/10.3389/fmolb.2022.965645/full>

[9] C.O.S. Sorzano, S. Jonic, R. Núñez-Ramírez, N. Boisset, J.M. Carazo: Fast, robust, and accurate determination of transmission electron microscopy contrast transfer function. Journal of Structural Biology 2007, 160: 249-262. [Journal] <https://doi.org/10.1016/j.jsb.2007.08.013>__

[10] Jonic S, Sorzano CO, Thevenaz P, El-Bez C, De Carlo S, Unser M: Spline-based image-to-volume registration for three-dimensional electron microscopy. Ultramicroscopy 2005, 103:303-317. [Journal] <https://www.sciencedirect.com/science/article/pii/S0304399105000173>__

[11] Vuillemot R, Mirzaei A, Harastani M, Hamitouche I, Fréchin L, Klaholz BP, Miyashita O, Tama F, Rouiller I, Jonic S. MDSPACE: Extracting continuous conformational landscapes from cryo-EM single particle datasets using 3D-to-2D flexible fitting based on Molecular Dynamics simulation. Journal of Molecular Biology. 2023 Jan 10:167951. [Journal] <https://www.sciencedirect.com/science/article/abs/pii/S0022283623000074>__

[12] Vuillemot, R., Rouiller, I., & Jonić, S. MDTOMO method for continuous conformational variability analysis in cryo electron subtomograms based on molecular dynamics simulations. Scientific Reports, 2023, 13(1), 10596. [Journal] <https://doi.org/10.1038/s41598-023-37037-9>__

Citation

Harastani, M., Vuillemot, R., Hamitouche, I., Moghadam, N. B., & Jonic, S. (2022). ContinuousFlex: Software package for analyzing continuous conformational variability of macromolecules in cryo electron microscopy and tomography data. Journal of Structural Biology, 214(4), 107906. [Journal] <https://doi.org/10.1016/j.jsb.2022.107906>__

Contact:

All questions regarding the software can be sent through submitting an issue on the Github page or addressed to [Contact] <continuousflex@gmail.com>__

scipion-em-continuousflex