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

Correlation of Experimental Data01:23

Correlation of Experimental Data

481
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
481
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.5K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.5K
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

773
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
773
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

936
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
936
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

1.6K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.6K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

6.9K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
6.9K

You might also read

Related Articles

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

Sort by
Same author

Unfolding Behavior and Conformational Changes Under Different Denaturing Conditions of MAPK 1 (MEK1).

Biomolecules·2026
Same author

Editorial: Molecular modeling in drug repurposing.

Frontiers in molecular biosciences·2026
Same author

Citrullination at the Nuclear Localization Signal of the Inhibitor of Growth 4 (ING4) Interferes With its Binding to Importin α3.

Journal of molecular biology·2026
Same author

Variant-dependent pharmacological rescue of phenylalanine hydroxylase supports a precision therapeutic strategy for phenylketonuria.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Clinical and molecular characterization of a novel pathogenic AIFM1 E336K mutation connecting mitochondrial dysfunction and neurodegeneration.

Cell communication and signaling : CCS·2026
Same author

Calcium as a molecular switch that regulates Annexin A11 N- and C-terminal domains interaction and its role in ALS.

International journal of biological macromolecules·2026

Related Experiment Video

Updated: Jan 28, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.9K

AFFINImeter: A software to analyze molecular recognition processes from experimental data.

Ángel Piñeiro1, Eva Muñoz2, Juan Sabín2

  • 1Departamento de Física de Aplicada, Facultade de Física, Universidade de Santiago de Compostela, E-15782, Santiago de Compostela, Spain.

Analytical Biochemistry
|March 9, 2019
PubMed
Summary
This summary is machine-generated.

This study presents AFFINImeter software for analyzing molecular recognition, detailing thermodynamic and kinetic processes. It offers tools for understanding complex interactions and improving experimental data analysis.

Keywords:
AffinityAnalysis softwareIsothermal titration calorimetryKineticsMolecular recognitionThermodynamics

More Related Videos

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects
15:25

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

27.3K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

13.3K

Related Experiment Videos

Last Updated: Jan 28, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.9K
Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects
15:25

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

27.3K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

13.3K

Area of Science:

  • Biochemistry and Biophysics
  • Chemical Thermodynamics
  • Molecular Interactions

Background:

  • Understanding molecular recognition requires analyzing energetic and kinetic processes.
  • Accurate thermodynamic analysis is crucial for studying molecular interactions.
  • Existing methods may not fully account for experimental complexities.

Purpose of the Study:

  • To describe general equations for thermodynamic analysis of molecular interactions.
  • To introduce the AFFINImeter software for implementing these analyses.
  • To provide tools for kinetic analysis of calorimetric experiments.

Main Methods:

  • Development of general equations for thermodynamic analysis of molecular interactions.
  • Implementation of these equations within the AFFINImeter software.
  • Inclusion of corrections for dilution, volume displacement, and concentration errors.
  • Utilizing global multi-temperature analysis and kinITC for kinetic insights.

Main Results:

  • AFFINImeter software enables comprehensive analysis of molecular recognition.
  • The software accounts for various experimental factors and complex interactions.
  • Demonstrated application to a system with cooperative 1:2 interactions.
  • Provided a simulation tool and kinITC analysis for kinetic data.

Conclusions:

  • AFFINImeter software offers a robust platform for studying molecular recognition.
  • The software facilitates accurate thermodynamic and kinetic analysis of molecular interactions.
  • Recommendations are provided for optimizing experimental design and data interpretation.