Molecular Complex Visualization
Molecular Complex Visualization - Related Videos
11:26
Visualizing Single Molecular Complexes In Vivo Using Advanced Fluorescence Microscopy
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Cited by 8 •
2009
Here we demonstrate the protocols for performing single-molecule fluorescence microscopy on living bacterial cells to enable functional molecular complexes to be detected, tracked and quantified.
09:35
Purification and Visualization of Influenza A Viral Ribonucleoprotein Complexes
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Cited by 8 •
2009
The genome of the influenza A virus consists of eight separate complexes of RNA and proteins, termed viral ribonucleoprotein complexes (vRNPs). This paper describes the glycerol gradient purification and transmission electron microscopy visualization of influenza A vRNPs.
08:30
Visualization of Recombinant DNA and Protein Complexes Using Atomic Force Microscopy
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Cited by 6 •
2011
A tapping mode atomic force microscope (AFM) method for the visualization of plasmid DNA, cytoplasmic proteins, and DNA-protein complexes is described. The method includes alternate approaches for preparing samples for AFM imaging following biochemical manipulation. DNA containing specific protein interacting regions are observed in near-physiologic buffer conditions.
14:37
Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Cited by 1 •
2021
A key skill in biomolecular modeling is displaying and annotating active sites in proteins. This technique is demonstrated using four popular free programs for macromolecular visualization: iCn3D, Jmol, PyMOL, and UCSF ChimeraX.
07:23
A Protocol for Genetic Induction and Visualization of Benign and Invasive Tumors in Cephalic Complexes of Drosophila melanogaster
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Cited by 5 •
2013
Cooperation between an activated oncogene like RASV12 and mutations in cell polarity genes like scribbled, result in tumor growth in Drosophila where tumor cells also display invasive behaviors. Here a simple protocol for the induction and observation of the benign and invasive tumors is presented.
FAQs
Visualization begins with atomic coordinate data from experimentally determined structures or computationally predicted models. Those coordinates supply positions for proteins, nucleic acids, ligands, and other biomolecules, allowing their arrangement within a complex to be rendered rather than considered as isolated components. Structural annotations then connect the displayed geometry to features relevant for interpretation, such as interfaces or binding sites.
These visual elements organize spatial information that can be difficult to interpret from coordinates alone. Molecular surfaces show how components occupy three-dimensional space, color helps distinguish or emphasize structural regions, and annotations identify features such as binding sites and interaction interfaces. Together, they make conformational relationships and molecular contacts easier to examine in an interactive representation.
The underlying model may come from experimental structural data or computational prediction, and visualization provides a common way to inspect either source. Researchers can examine the spatial arrangement of components, interfaces, and conformational relationships while keeping the origin of the coordinates in mind. This supports structural interpretation and hypothesis generation across both observed and predicted molecular complexes.
A single model can place proteins, nucleic acids, ligands, and other biomolecules within the same three-dimensional context. Examining these components together helps researchers relate a ligand to a binding site, a protein to an interaction interface, or multiple macromolecules to an assembly. This integrated view supports analysis of how structural relationships may contribute to molecular function.
The workflow starts by obtaining experimentally determined or computationally predicted atomic coordinates. Those coordinates are converted into a graphical or interactive representation, after which spatial arrangement, molecular surfaces, color, and structural annotations can be applied to emphasize relevant features. Researchers then inspect interfaces, binding sites, and conformational relationships to interpret the complex and develop functional hypotheses.
It is useful when researchers need to connect molecular structure with biological function. Applications described for this approach include studying enzyme catalysis, receptor signaling, drug binding, and macromolecular assembly. By displaying components and their relationships in three dimensions, the method helps investigators evaluate interaction networks, interpret mechanisms, and identify questions for further study.
A structural model can reveal interaction interfaces, binding sites, and conformational relationships that inform how a molecular mechanism might operate. Researchers can use those observations to generate hypotheses and plan experiments aimed at testing them. The same representations also make complex structural data more accessible for communication, helping convey molecular mechanisms and interaction networks to others.