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A review of visualisations of protein fold networks and their relationship with sequence and function

Citation

Sykes, J and Holland, BR and Charleston, MA, A review of visualisations of protein fold networks and their relationship with sequence and function, Biological reviews of the Cambridge Philosophical Society, 98, (1) pp. 243-262. ISSN 1469-185X (2023) [Refereed Article]


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Copyright Statement

2022 The Authors. Biological Reviews published by John Wiley & Sons Ltd on behalf of Cambridge Philosophical Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) License, (https://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

DOI: doi:10.1111/brv.12905

Abstract

Proteins form arguably the most significant link between genotype and phenotype. Understanding the relationship between protein sequence and structure, and applying this knowledge to predict function, is difficult. One way to investigate these relationships is by considering the space of protein folds and how one might move from fold to fold through similarity, or potential evolutionary relationships. The many individual characterisations of fold space presented in the literature can tell us a lot about how well the current Protein Data Bank represents protein fold space, how convergence and divergence may affect protein evolution, how proteins affect the whole of which they are part, and how proteins themselves function. A synthesis of these different approaches and viewpoints seems the most likely way to further our knowledge of protein structure evolution and thus, facilitate improved protein structure design and prediction.

Item Details

Item Type:Refereed Article
Keywords:protein folds, protein similarity networks, protein structure networks, evolution
Research Division:Biological Sciences
Research Group:Bioinformatics and computational biology
Research Field:Biological network analysis
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Sykes, J (Ms Janan Sykes)
UTAS Author:Holland, BR (Professor Barbara Holland)
UTAS Author:Charleston, MA (Professor Michael Charleston)
ID Code:155157
Year Published:2023
Deposited By:Mathematics
Deposited On:2023-01-31
Last Modified:2023-02-08
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