| Chapter title |
Computational Tools for Aiding Rational Antibody Design.
|
|---|---|
| Chapter number | 21 |
| Book title |
Computational Protein Design
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6637-0_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6635-6, 978-1-4939-6637-0
|
| Authors |
Konrad Krawczyk, James Dunbar, Charlotte M. Deane |
| Editors |
Ilan Samish |
| Abstract |
Antibodies are a group of proteins responsible for mediating immune reactions in vertebrates. They are able to bind a variety of structural motifs on noxious molecules tagging them for elimination from the organism. As a result of their versatile binding properties, antibodies are currently one of the most important classes of biopharmaceuticals. In this chapter, we discuss how knowledge-based computational methods can aid experimentalists in the development of potent antibodies. When using common experimental methods for antibody development, we often know the sequence of an antibody that binds to our molecule, antigen, of interest. We may also have a structure or model of the antigen. In these cases, computational methods can help by both modeling the antibody and identifying the antibody-antigen contact residues. This information can then play a key role in the rational design of more potent antibodies. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 21% |
| Student > Ph. D. Student | 10 | 19% |
| Researcher | 4 | 8% |
| Student > Master | 4 | 8% |
| Professor | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 35% |
| Agricultural and Biological Sciences | 5 | 10% |
| Immunology and Microbiology | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 13 | 25% |