O'Malley, CJ;
Montague, GA;
Martin, EB;
Liddell, JM;
Kara, B;
Titchener-Hooker, NJ;
(2012)
Utilisation of key descriptors from protein sequence data to aid bioprocess route selection.
Food and Bioproducts Processing
, 90
(4)
755 - 761.
10.1016/j.fbp.2012.01.005.
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Abstract
The large-scale manufacture of biological products results in the generation of significant quantities of process information that can be used to inform future design decisions. Currently this information is not exploited to its full potential. The challenge is thus to identify and/or develop tools that allow the utilisation of this valuable resource. The main objective of the research reported in this paper was to investigate whether it was possible to utilise information, in particular that extracted from protein sequence data, from previous processes, with the goal of informing process route selection early in development. The approach adopted draws on tools in the areas of data mining and pattern recognition including the techniques of Fisher correlation score and self-organising maps. The methodology developed was applied to two case studies utilising data from the amino acid sequences of 41 proteins previously developed at Avecia Biologics, along with associated information relating to the downstream processing steps used during their large scale manufacture. The results demonstrate that information from previous processes can be used to inform process route selection.
| Type: | Article |
|---|---|
| Title: | Utilisation of key descriptors from protein sequence data to aid bioprocess route selection |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.fbp.2012.01.005 |
| Publisher version: | http://dx.doi.org/10.1016/j.fbp.2012.01.005 |
| Language: | English |
| Additional information: | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Keywords: | Bioprocess design, Protein sequence descriptors, Self-organising feature maps, Kohonen networks, Industrial application, Variable selection, Clustering, Protein sequence data, Process route selection, Data mining |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1342794 |
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