Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Validation01:03

Data Validation

6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K
Data Validation01:15

Data Validation

582
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
582
Reliability and Validity01:29

Reliability and Validity

13.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.7K
Contact Angle01:13

Contact Angle

18.3K
When a solid is dipped inside a liquid, the liquid surface becomes curved near the contact. For some solid–liquid interfaces, the liquid is pulled up along the solid, while for others, the liquid surface is convex or depressed near the solid surface. This phenomenon can be explained using the concept of cohesive and adhesive forces.
The adhesive force is the molecular force between molecules of different materials, that is, between the molecules of the solid and the liquid. The cohesive...
18.3K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

250
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
250
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

534
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
534

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

IHMValidation: Assessment of Integrative Structure Models Deposited to the Protein Data Bank.

Journal of molecular biology·2025
Same author

Benchmarking predictive methods for small-angle X-ray scattering from atomic coordinates of proteins using maximum likelihood consensus data.

IUCrJ·2024
Same author

IHMCIF: An Extension of the PDBx/mmCIF Data Standard for Integrative Structure Determination Methods.

Journal of molecular biology·2024
Same author

AlphaFold-predicted protein structures and small-angle X-ray scattering: insights from an extended examination of selected data in the Small-Angle Scattering Biological Data Bank.

Journal of applied crystallography·2023
Same author

Calmodulin Binds a Highly Extended HIV-1 MA Protein That Refolds Upon Its Release.

Biophysical journal·2023
Same author

Corrigendum to "Human Cardiac Myosin Binding Protein C: Structural Flexibility within an Extended Modular Architecture" [J. Mol. Biol. 414(5) (2011) 735-748].

Journal of molecular biology·2023
Same journal

Mammalian Respiratory Chain Complex Assemblies and Their Links to Mitochondria Stress-Induced Human Diseases.

Advances in experimental medicine and biology·2026
Same journal

Enzyme Assemblies in Nucleotide Metabolism: Structure, Regulation, and Disease Implications.

Advances in experimental medicine and biology·2026
Same journal

The Pyruvate Dehydrogenase Complex: A 90-Year-Old Enigma Shaping the Future of Structural Enzymology.

Advances in experimental medicine and biology·2026
Same journal

Regulation of the Anti-termination RNA Transcription Complex by Lon-Mediated Lambda N Degradation.

Advances in experimental medicine and biology·2026
Same journal

PCNA Macromolecular Complexes: PCNA Serves as a Molecular Hub Regulating Multiple Cellular Processes Inside and Outside of the Nucleus.

Advances in experimental medicine and biology·2026
Same journal

Dynamic Assemblies in Genome Maintenance.

Advances in experimental medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

9.8K

Small Angle Scattering and Structural Biology: Data Quality and Model Validation.

Jill Trewhella1,2

  • 1School of Life and Environmental Sciences, The University of Sydney, NSW, Australia. jill.trewhella@sydney.edu.au.

Advances in Experimental Medicine and Biology
|January 9, 2019
PubMed
Summary
This summary is machine-generated.

Small-angle scattering (SAS) advances biomolecular research by improving sample prep, data analysis, and 3D modeling. New guidelines and data sharing with the Protein Data Bank enhance structural biology efforts.

Keywords:
Biomolecular structureData archiveModellingProtein structurePublication guidelinesSANSSAXSSmall-angle scattering

More Related Videos

Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
07:19

Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering

Published on: November 5, 2018

13.3K
Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling
10:27

Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling

Published on: October 21, 2018

13.0K

Related Experiment Videos

Last Updated: Jan 20, 2026

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

9.8K
Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
07:19

Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering

Published on: November 5, 2018

13.3K
Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling
10:27

Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling

Published on: October 21, 2018

13.0K

Area of Science:

  • Biophysical Chemistry
  • Structural Biology
  • Biochemistry

Background:

  • Small-angle scattering (SAS) is a powerful technique for studying biomolecules in solution.
  • Current methodologies require continuous refinement for accurate structural determination.

Purpose of the Study:

  • To review the state-of-the-art in biomolecular SAS.
  • To highlight ongoing research in SAS data interpretation and structural modeling.
  • To describe progress in standardization and data deposition.

Main Methods:

  • Review of current instrumentation and sample preparation techniques for SAS.
  • Discussion of data reduction and analysis strategies.
  • Exploration of computational methods for 3D structural modeling and validation using hybrid approaches.

Main Results:

  • Significant progress in SAS instrumentation, data analysis, and 3D structural modeling.
  • Development of community-accepted publication guidelines and a standard reporting framework.
  • Establishment of a format for SAS data deposition and interoperability with the Protein Data Bank (PDB).

Conclusions:

  • Biomolecular SAS is well-positioned to advance hybrid structural biology.
  • Standardized data formats and deposition will enhance data sharing and collaboration.
  • The integration of SAS data into federated archives will support comprehensive structural studies.