Accessibility navigation

Predictive and experimental approaches for elucidating protein–protein interactions and quaternary structures

Nealon, J. O., Philomina, L. S. and McGuffin, L. J. (2017) Predictive and experimental approaches for elucidating protein–protein interactions and quaternary structures. International Journal of Molecular Sciences, 18 (12). 2623. ISSN 1422-0067

Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.3390/ijms18122623


The elucidation of protein–protein interactions is vital for determining the function and action of quaternary protein structures. Here, we discuss the difficulty and importance of establishing protein quaternary structure and review in vitro and in silico methods for doing so. Determining the interacting partner proteins of predicted protein structures is very time-consuming when using in vitro methods, this can be somewhat alleviated by use of predictive methods. However, developing reliably accurate predictive tools has proved to be difficult. We review the current state of the art in predictive protein interaction software and discuss the problem of scoring and therefore ranking predictions. Current community-based predictive exercises are discussed in relation to the growth of protein interaction prediction as an area within these exercises. We suggest a fusion of experimental and predictive methods that make use of sparse experimental data to determine higher resolution predicted protein interactions as being necessary to drive forward development.

Item Type:Article
Divisions:Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR)
Interdisciplinary centres and themes > Reading Systems Biology Network (RSBN)
Life Sciences > School of Biological Sciences > Biomedical Sciences
ID Code:74376


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation