| Title |
Coupling of Aggregation and Immunogenicity in Biotherapeutics: T- and B-Cell Immune Epitopes May Contain Aggregation-Prone Regions
|
|---|---|
| Published in |
Pharmaceutical Research, March 2011
|
| DOI | 10.1007/s11095-011-0414-9 |
| Pubmed ID | |
| Authors |
Sandeep Kumar, Satish K. Singh, Xiaoling Wang, Bonita Rup, Davinder Gill |
| Abstract |
Biotherapeutics, including recombinant or plasma-derived human proteins and antibody-based molecules, have emerged as an important class of pharmaceuticals. Aggregation and immunogenicity are among the major bottlenecks during discovery and development of biotherapeutics. Computational tools that can predict aggregation prone regions as well as T- and B-cell immune epitopes from protein sequence and structure have become available recently. Here, we describe a potential coupling between aggregation and immunogenicity: T-cell and B-cell immune epitopes in therapeutic proteins may contain aggregation-prone regions. The details of biological mechanisms behind this observation remain to be understood. However, our observation opens up an exciting potential for rational design of de-immunized novel, as well as follow on biotherapeutics with reduced aggregation propensity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 1 | 1% |
| Unknown | 96 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 31% |
| Student > Ph. D. Student | 21 | 21% |
| Student > Bachelor | 11 | 11% |
| Student > Master | 8 | 8% |
| Other | 6 | 6% |
| Other | 10 | 10% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 18% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Engineering | 13 | 13% |
| Chemistry | 10 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 9% |
| Other | 20 | 20% |
| Unknown | 14 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from Pharmaceutical Research
#2,472
of 2,852 outputs
Outputs of similar age
#95,222
of 108,502 outputs
Outputs of similar age from Pharmaceutical Research
#27
of 28 outputs
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