# Software Tools For Molecular Microscopy/Visualization and modeling tools
#### ADP_EM

    Website: http://chaconlab.org/adpem/index.html Current version: 1.03 Contact: pablo@chaconlab.org ADP_EM is an ultra fast multiresolution fitting tool of atomic structures into low/medium resolution EM maps which has been specially designed to support high throughput coverage. The method uses spherical harmonics to effectively speed up the rotational scan. It can be considered as a practical step-down of the Fast Rotational Matching (FRM) described elsewhere in Kovacs et al. 2003. Please, download the program and test by yourself the efficiency and robustness reached with this new approach. Support: Operating systems: Windows, Linux Image format support: CCP4, SITUS Cost: Free Written In: C/C++ Primary Publication to Cite: Garzón, J.I. (2007). "ADP_EM: Fast exhaustive multi-resolution docking for high-throughput coverage". Bioinformatics. 23 (4): 427–33. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help) Additional References: Julio A. Kovacs, Pablo Chacón, Yao Cong, Essam Metwally, and Willy Wriggers (2003). "Fast Rotational Matching of Rigid Bodies by Fast Fourier Transform Acceleration of Five Degrees of Freedom". Acta Cryst. D. 59: 1371–1376. {{cite journal}}: Cite has empty unknown parameter: |month= (help)CS1 maint: multiple names: authors list (link)

#### Amira

    Website: http://www.amira.com Current version: 5.4.3. Contact: info@vsg3d.com Amira is a software solution that satisfies your demanding needs to work with clinical or preclinical image data, nuclear data, optical or electron microscopy imagery, molecular models, vector and flow data, simulation data on finite element models, and all types of multidimensional image, vector, tensor, and geometry data. Support: Operating systems: Win/Linux/Mac Image format support: TIFF, BMP, JPEG, PNG, SGI, Leica, Zeiss, BioRad, Olympus, MRC, DICOM, Analyze 3D, Fidap, I-DEAS, Fluent, DXF, STL, VRML, Inventor, CATIA 4/5, IGES Cost: Depends on license Primary Publication to Cite: Stalling, Detlev (2005). "Chapter 38, Amira: A Highly Interactive System for Visual Data Analysis". In Hansen, Charles D.; Johnson, Christopher R. (eds.). The Visualization Handbook. Elsevier. pp. 749–767. {{cite book}}: Unknown parameter |chapterurl= ignored (|chapter-url= suggested) (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### Automated Segmentation of Actin Networks (Software Package for Amira)

    Website: http://www.zib.de/en/visual/software/cryoem.html Current version: 1.4 Contact: baum at zib dot de / rigort at biochem dot mpg dot de This software package brings an automated procedure for the segmentation of actin filaments from cryo-electron tomograms. It is based on a combination of template matching with a new tracing algorithm and allows a statistically sound assessment of the properties of filamentous actin networks. The whole analysis workflow, from denoising to segmentation, can be performed within the visualization framework Amira 5.4.5 Our segmentation package enables the user to obtain geometric data on individual actin filaments and to use this data for statistical analysis. The software has been developed in collaboration between the Zuse Institute Berlin (ZIB) and the Max Planck Institute of Biochemistry. Support: Operating systems: 64-bit versions for Linux and Windows, 32-bit version for MacX. Image format support: 3D tomographic data, EM, MRC, others Cost: package: free for academic use; Amira trial license (valid for 3 weeks) available, otherwise: licensed version of Amira 5.4.5 required Primary Publication to Cite: Rigort A., Guenther D., Hegerl R., Baum D., Weber B., Prohaska S., Medalia O., Baumeister W., Hege H.C. J. Struct. Biol. doi:10.1016/j.jsb.2011.08.012. PMID 21907807. {{cite journal}}: |chapter= ignored (help); Missing or empty |title= (help); Unknown parameter |chapterurl= ignored (|chapter-url= suggested) (help)CS1 maint: multiple names: authors list (link)

#### CoAn/CoFi

    Website: http://coan.burnham.org Contact: coan@burnham.org Software for statistics-based fitting of atomic models into density maps of lower resolution such as those obtained by electron microscopy and image reconstruction. Support: Operating systems: Linux Image format support: MRC Cost: Free for academic users Primary Publication to Cite: Volkmann N, Hanein D (1999). "Quantitative fitting of atomic models into observed densities derived by electron microscopy". J. Struct. Biol. 125: 176–184. PMID 10222273. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help) Additional References: Volkmann N, Hanein D (2003). "Docking of atomic models into reconstructions from electron microscopy". Methods Enzymol. 374: 204–225. PMID 14696375. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help) Volkmann N (2009). "Confidence intervals for fitting of atomic models into low-resolution densities". Acta Crystallogr D Biol Crystallogr. 65: 679–689. PMID 19564688. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help)

#### UCSF Chimera

    Website: http://www.cgl.ucsf.edu/chimera Current version: 1.4.1 Contact: chimera-users@cgl.ucsf.edu Molecular modeling package with many density map capabilities. Supports fitting atomic models in maps, interactive segmentation, coarse modeling, measuring and coloring of density maps for elucidating structures of large molecular assemblies. The map capabilities were designed for analyzing electron microscope single particle reconstructions and tomography. Includes many methods for analysis of atomic resolution molecular models and multiple sequence alignments. Support: Operating systems: Windows, Macintosh, Linux Image format support: MRC, CCP4, SPIDER, BRIX, SITUS, PIF, HDF5, others Cost: Free for academic use Primary Publication to Cite: Goddard, TD (2007). "Visualizing density maps with UCSF Chimera". Journal of Structural Biology. 157 (1): 281–7. PMID 16963278. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### coloRNA

    Website: http://franklab.cpmc.columbia.edu/franklab/colorna Current version: 1.1 Contact: hl2485@columbia.edu The purpose of coloRNA is the following: if we have two versions of an RNA structure (given as pdb files), differing as a consequence of conformational changes, and given the secondary structure, then the program is able to determine the distances between corresponding residues and heat-map them onto the secondary structure. That is, very mobile/flexible residues show up in red, moderate ones in yellow and green, very stable ones in blue. So it is possible, with the aid of the program, to determine which parts of the secondary structure are responsible for the mobility of the 3D structure. Support: Operating systems: Linux Image format support: pdb files, others file formats (see readme.txt) Cost: Free Written In: Python 2.3.3 with Tkinter 8.4 Primary Publication to Cite: LeBarron, J. (2007). "Displaying 3D data on RNA secondary structures: coloRNA". J Struct Biol. 157 (1): 262–270. doi:10.1016/j.jsb.2006.08.018. PMID 17070699. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### EMDataBank

    Website: http://www.emdatabank.org Contact: help@emdatabank.org EMDataBank.org, a resource for deposition and retrieval of 3DEM map, model and associated metadata, unifies public access to the two major EM Structural Data archives: EM Data Bank (EMDB) and Protein Data Bank (PDB), and facilitates use of EM structural data by the wider scientific community. The resource offers Java-based 3D viewers which can be accessed from EMDataBank atlas pages. Atlas pages of interest can be found using EMSEARCH (http://www.emdatabank.org/search.html). AstexViewer, a molecular graphics program originally developed to display crystallographic data was recently re-released under an open source license and has been adapted for display of EM maps and associated PDB coordinate models. A compact map format is used to improve web download speed and minimize memory requirements (very large maps are down-sampled). Current capabilities include ability to control map contour level, opacity, color, solid vs. mesh surface rendering, and concurrent display of one or more PDB coordinate entries. Support: Operating systems: requires web browser with Java (1.5 or higher preferred), viewing large maps may require increasing the Java Runtime memory Image format support: Cost: Free Primary Publication to Cite: Lawson, C. (2011). "EMDataBank.org: Unified Data Resource for Cryo EM". Nucleic Acids Research. 39(Database issue): D456. doi:10.1093/nar/gkq880. PMID 20935055. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help); Unknown parameter |pmcid= ignored (|pmc= suggested) (help) Additional References: Tagari, M. (2002). "New electron microscopy database and deposition system". Trends Biochem. Sci. 27: 589. PMID 12417136. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help) Henrick, K. (2003). "EMDep: a web-based system for the deposition and validation of high-resolution electron microscopy macromolecular structural information". J. Struct. Biol. 144: 228. PMID 14643225. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### EMfit

    Website: http://bilbo.bio.purdue.edu/~viruswww/Rossmann_home/softwares/emfit.php Current version: 5.0 Contact: mr@indiana.bio.purdue.edu Program for fitting atomic models into electron microscopy maps. Fitting criteria includes the sum of densities at atomic sites, the lack of atoms in negative or low density, the absence of atomic clashes between symmetry-related positions of the atomic structure, and the distances between identifiable features in the map and their positions on the fitted atomic structure, etc. Support: Operating systems: Linux, AIX Image format support: TSB ASCII EM, XPLOR ASCII Cost: Free/Open Source Primary Publication to Cite: Rossmann, M.G. (2000). "Fitting atomic models into electron microscopy maps". Acta Crystallogr. D56: 1341–1349. {{cite journal}}: Cite has empty unknown parameters: |pmcid= and |coauthors= (help)

#### EMPackage (Electron Tomography Toolbox for Amira)

    Website: http://www.biophys.uni-frankfurt.de/frangakis/Amiratools.htm Current version: 1.0.0 Contact: frangakis.group@googlemail.com The EMPackage is a powerful toolbox for three-dimensional electron microscopy in Amira. The main aim of the toolbox is to decrease the amount of different programs needed to analyse EM data, by enabling denoising and segmentation tasks directly in Amira. Amira has to be installed and a license is needed for Amira. Support: Operating systems: Win/Linux/Mac Image format support: File formats supported in Amira plus additionally CCP4, EM, IMAGIC, SPIDER Cost: Free for academic use, but requires Amira Primary Publication to Cite: Pruggnaller, S. (2008). "A visualization and segmentation toolbox for electron microscopy". Journal of Structural Biology. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### Gorgon

    Website: http://gorgon.wustl.edu Current version: 2.0.0 Contact: sasakthi.abeysinghe@wustl.edu An interactive molecular modeling system specifically geared towards cryo-EM and other low resolution structures of macromolecular complexes. The long term goal of the gorgon project is to be able to address to every part of the molecular modeling pipeline starting from the initial volumetric reconstruction of the complex all the way to the final placement of each individual atom. Gorgon is being developed as a collaboration between Washington University in St. Louis and Baylor College of Medicine. Gorgon currently provides the following feature categories: Visualization: A comprehensive visualization framework for volumetric data (iso-contours, cross-sections and solid rendering), geometric skeletons, secondary structure elements and atomic models (PDB). Geometric operations: Many geometric operations such as skeletonization (binary / grayscale and interactive), smoothing, resampling, cropping, etc. are provided. Protein structure prediction: We provide tools which allow users to find the correspondence between predicted secondary structure elements in the sequence and the observed secondary structure elements in the volume Protein backbone tracing: The c-alpha backbone of a protein can be easily traced manually or semi-automatically using the many supporting elements offered by Gorgon. Support: Operating systems: Windows 2000/XP/Vista, MacOS X, Linux Image format support: MRC, CCP4, RAW, OFF, PDB, SEQ, SSE, WRL/VRML Cost: Free Primary Publication to Cite: Abeysinghe, S.S. (2008). "Segmentation-free skeletonization of grayscale volumes for shape understanding". Shape Modeling and Applications: 63–71. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help) Additional References: Abeysinghe, S.S. (2008). "Shape modeling and matching in identifying 3D protein structures". Computer-Aided Design. 40 (6): 708–720. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help) Baker, M. (2007). "Identification of Secondary Structure Elements in Intermediate Resolution Density Maps". Structure. 15 (1): 7–19. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help) Ju, T. (2007). "Computing a family of skeletons of volumetric models for shape description". Computer-Aided Design. 39 (5): 352–360. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

### IMOD

    see Software_Tools_For_Molecular_Microscopy/Specific_packages#IMOD

#### iMODFIT

    Website: http://chaconlab.org/imodfit/index.html Current version: 1.02 Contact: pablo@chaconlab.org iMODFIT is an efficient tool for fast flexible fitting of atomic structures into low/medium resolution EM maps based on Normal Mode Analysis in internal Coordinates. It is able to deal with protein and nucleic acid structures with small ligands at several coarse-graining levels. Please, download the program and test by yourself the efficiency and robustness reached with this new approach. Support: Operating systems: Linux Image format support: CCP4, SITUS Cost: Free Written In: C/C++ Primary Publication to Cite: López-Blanco, J.R. (2011). "(in preparation)". {{cite journal}}: Cite journal requires |journal= (help); Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### NORMA

    Website: http://www.elnemo.org/NORMA Current version: 1.0 Contact: Karsten Suhre NORMA is a freely available software suite that allows the modelling of large conformational changes of high-resolution three-dimensional protein structures under the constraint of a low-resolution electron-density map. Typical applications are the interpretation of electron-microscopy data using atomic scale X-ray structural models. The software package provided should enable the interested user to perform flexible fitting on new cases without encountering major technical difficulties. The NORMA software suite includes three fully executable reference cases and extensive user instructions. It comes with a Linux version of the URO fitting package (by J. Navaza) and the elNemo elastic network model normal mode analysis code (by Y.H. Sanejouand). Support: Operating systems: Linux Image format support: EZD, CCP4, MRC, PIF Cost: Free Primary Publication to Cite: Suhre, K. (2006). "NORMA: a tool for flexible fitting of high resolution protein structures into low resolution electron microscopy derived density maps". Acta Cryst. D62: 1098–1100. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### OpenStructure

    Website: http://www.openstructure.org Current version: 1.0.0 Contact: Torsten Schwede OpenStructure is a software development platform tailored to the implementation of novel computational structural biology and molecular modeling methods. OpenStructure has been designed to handle and manipulate a wide range of data types as required in the field of integrative modeling, where data originating from a variety of experimental techniques are used to guide the model building process. The toolkit allows the development of sophisticated stand-alone applications, but also offers interfaces to flexibly incorporate external software, where appropriate, without the need to re-implement existing functionalities. At the top level, OpenStructure features a graphical user interface with components for rendering of biological macromolecules, density maps, image stacks, widgets for sequence analysis and graphical scene setup, and an integrated Python shell. While the graphical interface is conveniently used without prior knowledge of the underlying layers, the GUI maintains a tight integration with the scripting functionality. Any object that is visualized on the screen can be accessed at the Python level. Likewise, it is possible to create and manipulate graphical objects from within a script. This setup allows the combination of human-based and automatic data analysis, and freely customizing the graphical interface itself. Support: Operating systems: Win/Linux/MacOS X Image format support: CCP4, DAT, TIFF, MRC, SPIDER, Nanoscope, PNG, SITUS, JPK, PDB, SDF, CRD, CHARMM trajectory files, maestro, many sequence and alignment formats Cost: Free, LGPL Written In: C++/Python Primary Publication to Cite: Biasini, M. (2010). "OpenStructure: a flexible software framework for computational structural biology". Bioinformatics. 26 (20): 2626–2628. doi:10.1093/bioinformatics/btq481. PMID 20733063. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help); Unknown parameter |pmcid= ignored (|pmc= suggested) (help)

#### PyMOL

    Website: http://pymol.org Current version: 1.2 Contact: licensing@schrodinger.com Support: Operating systems: Linux, Unix, Mac OS X, and Windows Image format support: CCP4, MRC, PDB, many more Cost: Subscription/Open Source Written In: Python Primary Publication to Cite: Unpublished

#### RIVEM

    Website: http://bilbo.bio.purdue.edu/~viruswww/Rossmann_home/softwares/river_programs/rivem.php Current version: 3.2 Contact: xc@purdue.edu Program developed to project electron density of virus radially onto a sphere that is then presented as a stereographic diagram. Features that constitute the viral surface can be simultaneously represented in terms of atoms, amino acid residues, potential charge distribution, and surface topology Support: Operating systems: Linux, AIX Image format support: XPLOR ASCII Cost: Free Primary Publication to Cite: Xiao, C. (2007). "Interpretation of electron density with stereographic roadmap projections". Journal of Structural Biology. 158: 182–187. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)

#### Sculptor

    Website: http://sculptor.biomachina.org/ Current version: 2.1 Contact: sculptor@biomachina.org Sculptor is an interactive multi-resolution docking and visualization program for low-resolution density maps and atomic structures. We are developing Sculptor as a GUI-based extension of the Situs docking programs, to allow an interactive exploration and analysis of volumetric maps. Sculptor combines 3D rendering with advanced mathematical concepts like clustering techniques and pattern matching algorithms to permit an almost instantaneous fitting of the high-resolution structures and to facilitate typical post-processing work like map editing or resolution adjustment. Support: Operating systems: Windows, Macintosh, Linux Image format support: MRC, CCP4, SITUS, SPIDER Cost: Free/Open Source, LGPL Written In: C++ Primary Publication to Cite: Birmanns, S. (2011). "Using Sculptor and Situs for Simultaneous Assembly of Atomic Components into Low-Resolution Shapes". J. Struct. Biol. doi:10.1016/j.jsb.2010.11.002. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help) Additional References: Heyd J, Birmanns S (2009). "Immersive Structural Biology: A New Approach to Hybrid Modeling of Macromolecular Assemblies". Virtual Reality. 13: 245–255. {{cite journal}}: Unknown parameter |month= ignored (help) Rusu M, Birmanns S, Wriggers W (2008). "Biomolecular pleiomorphism probed by spatial interpolation of coarse models". Bioinformatics. 24 (21): 2460–6. doi:10.1093/bioinformatics/btn461. PMC 2732278. PMID 18757874. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link) Birmanns S, Wriggers W (2003). "Interactive Fitting Augmented by Force-Feedback and Virtual Reality". J Struct Biol. 144: 123–131. {{cite journal}}: Cite has empty unknown parameter: |month= (help)

#### Situs

    Website: http://situs.biomachina.org/ Current version: 2.7 Contact: situs@biomachina.org Situs is a modular software package for the integration of biophysical data across the spatial resolution scales. It has been developed over the last decade with a focus on bridging the resolution gap between atomic structures, coarse-grained models, and volumetric data from low-resolution biophysical origins, such as electron microscopy, tomography, or small-angle scattering. Structural models can be created and refined with various flexible and rigid body docking strategies. The software consists of multiple, stand-alone programs for the format conversion, analysis, visualization, manipulation, and assembly of 3D data sets. Support: Operating systems: Windows, Macintosh, Linux Image format support: MRC, CCP4, SITUS, SPIDER, XPLOR, ASCII Cost: Free/Open Source, GPL Written In: C/C++ Primary Publication to Cite: Wriggers, W. (2010). "Using Situs for the Integration of Multi-Resolution Structures". Biophysical Reviews. 2: 21–27. doi:10.1007/s12551-009-0026-3. PMID 20174447. {{cite journal}}: Cite has empty unknown parameter: |coauthors= (help); Unknown parameter |pmcid= ignored (|pmc= suggested) (help) Additional References: Wriggers W, Chacón P (2001). "Modeling tricks and fitting techniques for multiresolution structures". Structure. 9 (9): 779–88. PMID 11566128. {{cite journal}}: Unknown parameter |month= ignored (help) Chacón P, Wriggers W (2002). "Multi-resolution contour-based fitting of macromolecular structures". J. Mol. Biol. 317 (3): 375–84. doi:10.1006/jmbi.2002.5438. PMID 11922671. {{cite journal}}: Unknown parameter |month= ignored (help) Rusu M, Birmanns S, Wriggers W (2008). "Biomolecular pleiomorphism probed by spatial interpolation of coarse models". Bioinformatics. 24 (21): 2460–6. doi:10.1093/bioinformatics/btn461. PMC 2732278. PMID 18757874. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)

#### UROX

    Website: http://sites.google.com/site/xsiebert/urox Current version: 2.0.2 Contact: xsiebert@gmail.com An interactive tool for fitting atomic models into electron microscopy reconstructions (or into envelopes derived from small-angle X-ray or neutron scattering). The correlation between the electron density of the atomic models and the map is calculated and updated as a model is moved on the graphical display with the help of the mouse. Calculations are performed in reciprocal-space and the symmetry of the reconstruction is taken into account. The computations are fast and an entire EM reconstruction can be used. Versions above 2.0 include Normal-Modes flexible fitting and "map on map" fitting (in addition to "model in map" fitting). Support: Operating systems: Linux Image format support: EZD, CCP4, MRC, PIF Cost: Free Primary Publication to Cite: Siebert X, Navaza J (2009). "UROX 2.0: an interactive tool for fitting atomic models into electron-microscopy reconstructions". Acta Crystallogr. D Biol. Crystallogr. 65 (Pt 7): 651–8. doi:10.1107/S0907444909008671. PMC 2703571. PMID 19564685. {{cite journal}}: Unknown parameter |month= ignored (help) Additional References: Navaza J, Lepault J, Rey FA, Alvarez-Rúa C, Borge J (2002). "On the fitting of model electron densities into EM reconstructions: a reciprocal-space formulation". Acta Crystallogr. D Biol. Crystallogr. 58 (Pt 10 Pt 2): 1820–5. PMID 12351826. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)

#### V3D

    Website: http://penglab.janelia.org/proj/v3d Current version: 2.687 Contact: pengh@janelia.hhmi.org V3D is a general tool for 3D microscopy image visualization and analysis, as well as display and analysis of the extracted surface models. It features fast 3D rendering of large data sets. It comes with a flexible plugin interface which allows developing additional toolkits easily. V3D is cross-platform and runs on Mac, Linux and Windows. It has a number of easy to use features specially designed for multicolor 3D microscopic data. Support: Operating systems: Mac, Linux, and Windows Image format support: tif, LSM, RAW, MRC Cost: Free Primary Publication to Cite: Peng, H. (2010). "V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets". Nature Biotechnology. 28 (4): 348–353. doi:10.1038/nbt.1612. {{cite journal}}: Cite has empty unknown parameter: |pmcid= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)