3d Structure Determination
3d Structure Determination - Related Videos
13:43
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
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Cited by 15 •
2013
We describe a correlative microscopy method that combines high-speed 3D live-cell fluorescent light microscopy and high-resolution cryo-electron tomography. We demonstrate the capability of the correlative method by imaging dynamic, small HIV-1 particles interacting with host HeLa cells.
22:00
Crystallizing Membrane Proteins for Structure Determination using Lipidic Mesophases
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Cited by 48 •
2010
Herein is described the procedure implemented in the Caffrey Membrane Structural and Functional Biology Group to set up manually crystallization trials of membrane proteins in lipidic mesophases.
08:00
Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
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Cited by 1 •
2014
Imaging of cerebrovascular development in larval zebrafish is described. Techniques to facilitate 3D imaging and modify cerebrovascular development using chemical treatments are also provided.
01:29
Determination of Crystal Structures
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2026
In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...
14:44
Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
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Cited by 4 •
2013
The NMR-solution structure of a metallochaperone model peptide with Cu (I) was determined, and a detailed protocol from sample preparation and 1D and 2D data collection to a three-dimensional structure is described.
FAQs
Researchers first collect measurements for the molecule or complex under study, including X-ray diffraction data, nuclear magnetic resonance signals, or cryo-electron microscopy images. Reconstruction converts those observations into a representation of the molecule or complex, while refinement improves the model so it more consistently reflects the experimental data.
These stages connect experimental observations with an interpretable structural result. Reconstruction establishes the arrangement represented by an atomic or near-atomic model, and refinement adjusts that model against the measurements. Together, they make it possible to analyze molecular organization rather than treating diffraction, resonance, or image data as isolated signals.
Atomic or near-atomic models can reveal how components are arranged within proteins, nucleic acids, and larger complexes. That organization provides a basis for examining protein interactions, enzyme mechanisms, nucleic acid organization, and molecular recognition. The resulting detail links structural features to biological function and helps investigators interpret molecular behavior.
Models show the three-dimensional arrangement of atoms in a molecule or complex, allowing researchers to examine how molecular components are positioned relative to one another. In biology, this supports analysis of molecular recognition and clarifies how the organization of a biological molecule or complex relates to its interactions.
Drug design benefits from structural knowledge because models expose the organization of biological molecules and the relationships involved in molecular recognition. This information gives researchers a structural basis for guiding drug design rather than considering biological activity without molecular context. Its value comes from connecting the arrangement of atoms with interactions relevant to biological function.
Protein engineering can use the observed organization of a protein as a guide for design decisions. A model places structural features within the larger molecular context, while related biological information can indicate how those features support function or interactions. This makes structural knowledge useful when researchers seek to connect engineered protein properties with molecular architecture.
Structural changes can alter the way a biological molecule functions, interacts, or participates in molecular recognition. By revealing molecular organization, 3D structure determination helps investigators examine how those changes may contribute to disease. The resulting models provide a framework for relating altered structure to biological consequences and for interpreting disease-related molecular behavior.