Predictive and Experimental Approaches for Elucidating Protein-Protein Interactions and Quaternary Structures

被引:9
|
作者
Nealon, John Oliver [1 ]
Philomina, Limcy Seby [1 ]
McGuffin, Liam James [1 ]
机构
[1] Univ Reading, Sch Biol Sci, Reading RG6 6AS, Berks, England
关键词
protein; interaction; prediction; homology; docking; quality assessment; experimental; X-RAY-SCATTERING; MODEL QUALITY ASSESSMENT; WEB SERVER; CRYO-EM; DOCKING PREDICTION; FOLD RECOGNITION; IN-VIVO; CELLS; COMPLEXES; AFFINITY;
D O I
10.3390/ijms18122623
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:20
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