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Related Concept Videos

Antibody Structure01:10

Antibody Structure

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...

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Related Experiment Video

Updated: May 21, 2026

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood
08:17

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

Published on: February 8, 2016

Computer-aided antibody design.

Daisuke Kuroda1, Hiroki Shirai, Matthew P Jacobson

  • 1Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka, Japan. dkuroda@protein.osaka-u.ac.jp

Protein Engineering, Design & Selection : PEDS
|June 5, 2012
PubMed
Summary
This summary is machine-generated.

Computer-aided antibody modeling accelerates the development of protein therapeutics by predicting antigen-binding sites and variable chain orientations. This computational approach enhances antibody design for improved drug discovery and vaccine development.

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An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules
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An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules

Published on: June 16, 2023

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Last Updated: May 21, 2026

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An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules
04:24

An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules

Published on: June 16, 2023

Area of Science:

  • Biotechnology and Pharmaceutical Sciences
  • Computational Biology and Bioinformatics
  • Immunology and Vaccine Development

Background:

  • Therapeutic antibodies offer high efficiency and low toxicity, driving advancements in next-generation protein therapeutics.
  • Current antibody development is time-consuming and relies heavily on empirical methods, necessitating more efficient approaches.

Purpose of the Study:

  • To review recent progress in computer-aided antibody development, focusing on computational modeling techniques.
  • To highlight the application of in silico methods in designing improved antibodies and rational vaccines.

Main Methods:

  • Antibody modeling, including predicting antigen-binding site (complementarity determining regions - CDRs) conformations, particularly CDR-H3.
  • Predicting the relative orientations of variable heavy (V(H)) and light (V(L)) chains.
  • Utilizing computational methods like antibody-antigen docking and energy calculations based on structural data.

Main Results:

  • Computational modeling significantly aids in predicting antibody structures and interactions.
  • In silico structure-based antibody design has yielded successful examples, demonstrating the potential of computational approaches.
  • Structure-based antigen/immunogen design shows promise for rational vaccine development.

Conclusions:

  • Computer-aided antibody development streamlines the creation of therapeutic proteins.
  • Computational methods can guide experimental studies to optimize antibody affinity and physicochemical properties.
  • In silico approaches are crucial for advancing rational drug design and vaccine development.