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

Antibody Structure01:10

Antibody Structure

65.6K
Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
65.6K
Antibody Structure and Classes01:25

Antibody Structure and Classes

9.1K
Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
9.1K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.8K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.8K
Group Design02:01

Group Design

10.5K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.5K
Factorial Design02:01

Factorial Design

13.8K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.8K
Structure of Benzene: Kekulé Model01:07

Structure of Benzene: Kekulé Model

11.9K
In 1865, August Kekule suggested the structure of benzene according to the structural theory of organic chemistry based on the three assertions—formula of benzene is C6H6, all the hydrogens of benzene are equivalent, and each carbon must have four bonds due to its tetravalency.
He proposed that benzene has a cyclic structure of six carbon atoms attached to one hydrogen atom each, with three alternating pi bonds.
11.9K

You might also read

Related Articles

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

Sort by
Same author

Analysis of monoclonal antibodies against the malaria invasion complex protein RIPR reveals the structural basis for synergistic antibody protection.

Immunity·2026
Same author

ANARCII enables alignment-free antigen receptor numbering using a generalised language model.

Communications biology·2026
Same author

Machine learning in AIRR diagnostics: Advances and applications.

Immunoinformatics (Amsterdam, Netherlands)·2026
Same author

iNOS modulates inflammatory responses in an NO-independent manner through direct interaction with IRG1 in mitochondria.

Nature metabolism·2026
Same author

Rational discovery of therapeutic PAK1 allosteric activators.

Cell·2026
Same author

Ginkgo Datapoints Antibody Developability Competition outcomes: limited model performance and a call for data standardization.

mAbs·2026
Same journal

Isolation of Mesenchymal Stem Cell-Derived Extracellular Vesicles.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Modeling Melanoma Immune Surveillance by CAR-T Cells in Human Skin Organoids.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Stepwise Optimization of a Matrigel-Based In Vitro Angiogenesis Assay for Reproducible and Quantifiable 2D-Tube Formation Using HUVECs.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Quantifying Mechanical Properties of Fresh Ovarian Tissue with Optical Brillouin Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

3D Chromatin Architecture During Early Development: New Methods and New Findings.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Metabolic Plasticity in Embryogenesis Throughout the Lens of NAD<sup></sup>.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
12:55

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Published on: January 17, 2015

19.2K

High-Throughput Antibody Structure Modeling and Design Using ABodyBuilder.

Jinwoo Leem1, Charlotte M Deane2

  • 1Department of Statistics, University of Oxford, Oxford, UK.

Methods in Molecular Biology (Clifton, N.J.)
|October 10, 2018
PubMed
Summary
This summary is machine-generated.

Computational antibody design accelerates therapeutic development. New algorithms, ABodyBuilder and PEARS, rapidly generate accurate antibody structure models in approximately 30 seconds, aiding in biotherapeutic design.

Keywords:
Accuracy estimationAntibody structure predictionDevelopabilitySide-chain prediction

More Related Videos

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.8K
Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K

Related Experiment Videos

Last Updated: Feb 4, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
12:55

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Published on: January 17, 2015

19.2K
Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.8K
Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K

Area of Science:

  • Immunology
  • Computational Biology
  • Biotechnology

Background:

  • Antibodies are key adaptive immune proteins with expanding biotherapeutic applications.
  • Experimental antibody design is costly and time-intensive.
  • Computational methods offer a faster alternative for antibody design, crucial for developing new therapeutics and diagnostics.

Purpose of the Study:

  • To present ABodyBuilder and PEARS, novel algorithms for antibody structure modeling and mutation.
  • To enable rapid generation of antibody models for exploring antibody diversity and handling large datasets.

Main Methods:

  • Development of ABodyBuilder and PEARS algorithms for antibody model generation.
  • Focus on rapid computation to replicate natural antibody diversification processes.

Main Results:

  • ABodyBuilder and PEARS can generate a model antibody structure in approximately 30 seconds.
  • These algorithms facilitate exploration of antibody space and processing of large-scale data.

Conclusions:

  • Rapid antibody structure modeling is essential for efficient biotherapeutic and diagnostic development.
  • ABodyBuilder and PEARS provide a significant advancement in computational antibody design speed and capability.