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Computational antibody repertoire analysis and design
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Bashour, Habib (2022) Computational antibody repertoire analysis and design. PhD thesis, University of Warwick.
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Official URL: http://webcat.warwick.ac.uk/record=b3859533
Abstract
Antibodies are the core element of human humoral immunity. Advancements in sequencing technologies coupled with a remarkable decline in sequencing cost have been fueling the interest in B cell receptor (BCR) and antibody sequencing. Indeed, BCR sequencing have been rapidly improving our understanding of humoral immune responses in health and disease, as well as aiding the development of novel antibody therapeutics and diagnostics. However, the application of BCR sequencing have just been adopted in the last decade. Thus, several questions in human immunology remains unanswered. Within the scope of this thesis, we firstly aim to study the effect of antiretroviral therapy on the BCRs of a large cohort of HIV patients. Secondly, we harness the power of BCR sequencing for the characterisation of novel memory B cells of the IgD antibody isotype. Lastly, we suggest a new approach to utilise the BCR sequencing public data to understand the developability of the native antibody repertoire, and leverage this knowledge for the design of new antibody medicines.
| Item Type: | Thesis (PhD) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QH Natural history > QH426 Genetics Q Science > QR Microbiology > QR180 Immunology |
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| Library of Congress Subject Headings (LCSH): | Immunoglobulins -- Computer simulation, Immunoglobulins -- Biotechnology, Immunoglobulins -- Therapeutic use, Nucleotide sequence -- Computer programs, Cell receptors, Highly active antiretroviral therapy, Immunology | ||||
| Official Date: | June 2022 | ||||
| Dates: |
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| Institution: | University of Warwick | ||||
| Theses Department: | School of Life Sciences | ||||
| Thesis Type: | PhD | ||||
| Publication Status: | Unpublished | ||||
| Supervisor(s)/Advisor: | Gutierrez-Marcos, José F. | ||||
| Format of File: | |||||
| Extent: | xxv, 184 pages : illustrations | ||||
| Language: | eng |
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