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Mendeley readers
| Chapter title |
Computer-Aided Antibody Design: An Overview
|
|---|---|
| Chapter number | 11 |
| Book title |
Recombinant Antibodies for Infectious Diseases
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-3-319-72077-7_11 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-972076-0, 978-3-31-972077-7
|
| Authors |
Choong, Yee Siew, Lee, Yie Vern, Soong, Jia Xin, Law, Cheh Tat, Lim, Yee Ying |
| Abstract |
The use of monoclonal antibody as the next generation protein therapeutics with remarkable success has surged the development of antibody engineering to design molecules for optimizing affinity, better efficacy, greater safety and therapeutic function. Therefore, computational methods have become increasingly important to generate hypotheses, interpret and guide experimental works. In this chapter, we discussed the overall antibody design by computational approches. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Lecturer | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 31% |
| Chemical Engineering | 2 | 8% |
| Chemistry | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 35% |