Structural Analysis
Structural Analysis - Related Videos
13:43
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
0 Views •
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.
17:06
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
0 Views •
Cited by 17 •
2012
We describe a novel approach for simultaneous analysis of brain function and structure using magnetic resonance imaging (MRI). We assess brain structure with high-resolution diffusion-weighted imaging and white-matter fiber tractography. Unlike standard structural MRI, these techniques allow us to directly relate anatomical connectivity to functional properties of brain networks.
08:51
A Modular Workflow for Quantitative, Structural and Functional Analysis of Leptospira Biofilms
0 Views •
2025
This protocol delivers a modular, BSL-2 workflow combining crystal-violet biomass assays, time-lapse phase-contrast kinetics, confocal 3-D/matrix mapping, SEM ultrastructure, and an in vivo hamster infection module to cultivate, quantify, characterize and investigate Leptospira biofilm functional role, enabling standardized evaluation of mutants and anti-biofilm interventions across laboratories.
19:16
The Importance of Correct Protein Concentration for Kinetics and Affinity Determination in Structure-function Analysis
0 Views •
Cited by 26 •
2010
We apply label-free protein interaction analysis using Biacore X100 for structure-function analysis of the binding of several cystatin B mutants to papain through kinetic characterization. Calibration-free concentration analysis (CFCA) measures the concentration of protein with retained binding activity without the need for a standard curve. We show that confirmation of concentrations using CFCA increases the reliability of the kinetic analysis and that kinetic constants can reliably be...
05:33
Three-Dimensional Shape Modeling and Analysis of Brain Structures
0 Views •
Cited by 2 •
2019
We introduce a semi-automatic protocol for shape analysis on brain structures, including image segmentation using open software, and further group-wise shape analysis using an automated modeling package. Here, we demonstrate each step of the 3D shape analysis protocol with hippocampal segmentation from brain MR images.
FAQs
The methods contribute different kinds of structural evidence. X-ray crystallography, nuclear magnetic resonance, and cryo-electron microscopy can be combined with computational modeling to examine biological systems from complementary perspectives. Using several approaches helps investigators connect three-dimensional organization with binding sites, molecular interactions, and changes in conformation, rather than interpreting a single structural observation in isolation.
Binding sites determine how antibodies recognize antigens and how immune receptors interact with their molecular partners. Conformational changes can alter those interactions by reshaping accessible surfaces or changing the arrangement of functional regions. Structural information therefore helps explain recognition and signaling at the molecular level, including why particular host defenses respond to specific pathogen components.
Examining pathogen proteins in three dimensions can reveal the molecular features involved in entering host cells or avoiding detection. Comparing these features with host defense molecules helps researchers identify the relevant interaction surfaces and structural changes. This connects a pathogen’s molecular architecture with infection-related behavior and can indicate where targeted intervention strategies might act.
A study can provide information about molecular shape, the position of binding sites, conformational changes, and interactions between pathogens and host defenses. These findings connect structural observations with biological behavior, such as antibody recognition, immune-receptor signaling, cellular entry, or immune evasion. The resulting picture supports more precise interpretation of host-pathogen interactions.
Structural insights show how antibodies recognize antigens and identify the molecular surfaces involved in that recognition. Vaccine design can use this information to focus attention on relevant antigenic features, while antibody engineering can use it to refine interactions with those targets. The shared goal is to improve the precision with which immune responses recognize pathogen molecules.
Mapping binding sites and pathogen-host interactions can reveal molecular features suitable for targeted intervention. In drug discovery, these structural details help focus efforts on particular regions of proteins or complexes. In infection research, the same information supports strategies directed at entry, immune evasion, or other interactions that contribute to infection, increasing the precision of potential targets.