eCite Digital Repository
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]
 | PDF (Published version) 3Mb |
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.
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 |
| Downloads: | 6 View Download Statistics |
Repository Staff Only: item control page