Related Experiment Video
Updated: Feb 10, 2026
05:42
An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
Published on: October 5, 2020
3.7K
Computational design of antibodies
Sharon Fischman1, Yanay Ofran2
1Biolojic Design LTD, 9 Bialik Street, Givat Shmuel, Israel.
Current Opinion in Structural Biology
|May 24, 2018
Summary
Computational antibody design enhances therapeutic and research antibodies by focusing on specific antigen targets. This approach ensures antibodies not only bind but also achieve desired functional effects for improved biological activity.
Area of Science:
- Biotechnology
- Immunology
- Computational Biology
Background:
- Traditional antibody discovery methods (e.g., immunization, library screening) yield antibodies with target binding but not always desired functions.
- Existing methods often lack precision in achieving specific functional outcomes for therapeutic or research applications.
Purpose of the Study:
- To explore computational methods for guiding antibody design towards specific biological activities.
- To develop epitope-specific antibodies with predictable functional effects on target proteins.
Main Methods:
- Utilizing computational approaches to identify specificity and affinity determinants on antigens.
- Focusing computational design on targeting particular regions of an antigen for precise antibody interaction.
Main Results:
- Computational methods can guide the selection of antibodies with desired functional properties.
- This approach facilitates the design of antibodies tailored for specific epitope interactions.
Conclusions:
- Computational antibody design offers a more targeted strategy than traditional methods.
- This approach enables the creation of antibodies with predictable and desired functional effects on target proteins, advancing therapeutic and research applications.
Related Concept Videos
01:25Design Example: Traverse Angle Computations
342
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
342
02:01Group Design
10.7K
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...
10.7K
01:10Antibody Structure
65.7K
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...
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...
65.7K
02:01Factorial Design
14.1K
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...
14.1K
01:10Computed Tomography
8.8K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.8K
01:25Design Example: Designing a Residential Plumbing System
1.1K
The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.
1.1K