Protein engineering in the computational age: An open source framework for exploring mutational landscapes in silico
Author(s)
Bamezai, Shirin
Maresca di Serracapriola, Giovanni
Morris, Freya
Hildebrandt, Rasmus
Amil, Marc Augustine Sojerido
Type
Journal Article
Abstract
The field of protein engineering has seen tremendous expansion in the last decade, with researchers developing novel proteins with specialised functionalities for a range of uses, from drug discovery to industrial biotechnology. The emergence of computational tools and high-throughput screening technology has substantially sped up the process of protein engineering. However, much of the expertise required to engage in such projects is still concentrated in the hands of a few specialised individuals, including computational biologists and structural biochemists. The international Genetically Engineered Machine (iGEM) competition represents a platform for undergraduate students to innovate in synthetic biology. Yet, due to their complexity, arduous protein engineering projects are hindered by the resources available and strict timelines of the competition. The authors highlight how the 2022 iGEM Team, 'Sporadicate', set out to develop InFinity 1.0, a computational framework for increased accessibility to effective protein engineering, hoping to increase awareness and accessibility to novel in silico tools.
Date Issued
2023-12-01
Date Acceptance
2023-10-25
Citation
Engineering Biology, 2023, 7 (1-4), pp.29-38
ISSN
2398-6182
Publisher
Wiley
Start Page
29
End Page
38
Journal / Book Title
Engineering Biology
Volume
7
Issue
1-4
Copyright Statement
© 2023 The Authors. Engineering Biology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38094241
PII: ENB212028
Subjects
biochemical engineering
synthetic biology
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2023-12-07