Chapter title |
Antibody Affinity Maturation by Computational Design
|
---|---|
Chapter number | 2 |
Book title |
Antibody Engineering
|
Published in |
Methods in molecular biology, September 2018
|
DOI | 10.1007/978-1-4939-8648-4_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8647-7, 978-1-4939-8648-4
|
Authors |
Daisuke Kuroda, Kouhei Tsumoto, Kuroda, Daisuke, Tsumoto, Kouhei |
Abstract |
The immune systems protect our bodies from foreign molecules or antigens, where antibodies play important roles. Antibodies evolve over time upon antigen encounter by somatically mutating their genome sequences. The end result is a series of antibodies that display higher affinities and specificities to specific antigens. This process is called affinity maturation. Recent improvements in computer hardware and modeling algorithms now enable the rational design of protein structures and functions, and several works on computer-aided antibody design have been published. In this chapter, we briefly describe computational methods for antibody affinity maturation, focusing on methods for sampling antibody conformations and for scoring designed antibody variants. We also discuss lessons learned from the successful computer-aided design of antibodies. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 31% |
Student > Ph. D. Student | 11 | 20% |
Other | 6 | 11% |
Student > Bachelor | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 4 | 7% |
Unknown | 10 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 36% |
Agricultural and Biological Sciences | 6 | 11% |
Chemistry | 4 | 7% |
Computer Science | 3 | 5% |
Immunology and Microbiology | 3 | 5% |
Other | 5 | 9% |
Unknown | 14 | 25% |