Advanced multivariate data analysis to determine the root cause of trisulfide bond formation in a novel antibody-peptide fusion
- Submitting institution
-
University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10237
- Type
- D - Journal article
- DOI
-
10.1002/bit.26339
- Title of journal
- Biotechnology and Bioengineering
- Article number
- -
- First page
- 2222
- Volume
- 114
- Issue
- 10
- ISSN
- 0006-3592
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fbit.26339&file=bit26339-sup-0001-SuppFig-S1.docx
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Industry collaboration helped biopharmaceutical leader (Turner, MedImmune/AstraZeneca) identify root cause of quality deviations on live projects saving 4 months R&D valued at £600k. Algorithms transferred to sponsor, in routine use. Presented in international invited talks including ECI Cell Culture Engineering (Palm Springs, 2016) and American-Chemical-Society-257 keynote (Orlando, 2019). Contributed to invitation to chair presitigious Recovery-XIX (Rome, 2021), workshop chair invitation (ECI, 2018). Led to 3 EPSRC-EngD/BBSRC-PhD collaborations with AstraZeneca (£540k). Major contributor to business case for £1.2m extension (2020-2026) to the UCL-AstraZeneca Centre of Excellence, underpinned datamining aspects of £4m H2020 grant (812909-CODOBIO) and £250k industry-sponsored post-doc with Lilly (2020-2022).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
