scholarly journals The properties of human disease mutations at protein interfaces

2021 ◽  
Author(s):  
Benjamin J Livesey ◽  
Joseph A Marsh

The assembly of proteins into complexes and interactions with other biomolecules are often vital for their biological function. While it is known that mutations at protein interfaces have a high potential to be damaging and cause human genetic disease, there has been relatively little consideration for how this varies between different types of interfaces. Here we investigate the properties of human pathogenic and putatively benign missense variants at homomeric (isologous and heterologous), heteromeric, DNA, RNA and other ligand interfaces, and at different regions with respect to those interfaces. We find that different types of interfaces vary greatly in their propensity to be associated with pathogenic mutations, with homomeric heterologous and DNA interfaces being particularly enriched in disease. We also find that residues that do not directly participate in an interface, but are close in 3D space, also show a significant disease enrichment. Finally, we show that mutations at different types of interfaces tend to have distinct property changes when undergoing amino acid substitutions associated with disease, and that this is linked to substantial variability in their identification by computational variant effect predictors.

2017 ◽  
Vol 33 (6) ◽  
pp. 391-398 ◽  
Author(s):  
Clement Y. Chow ◽  
Lawrence T. Reiter

2003 ◽  
Vol 12 (suppl 2) ◽  
pp. R145-R152 ◽  
Author(s):  
D. G. Albertson ◽  
D. Pinkel

2017 ◽  
Vol 1 (9) ◽  
pp. 1400-1406 ◽  
Author(s):  
Emmanuel Milot ◽  
Claudia Moreau ◽  
Alain Gagnon ◽  
Alan A. Cohen ◽  
Bernard Brais ◽  
...  

2020 ◽  
Vol 20 (6) ◽  
pp. 942-957
Author(s):  
Yusuf Izmirlioglu ◽  
Esra Erdem

AbstractWe propose a novel formal framework (called 3D-NCDC-ASP) to represent and reason about cardinal directions between extended objects in 3-dimensional (3D) space, using Answer Set Programming (ASP). 3D-NCDC-ASP extends Cardinal Directional Calculus (CDC) with a new type of default constraints, and NCDC-ASP to 3D. 3D-NCDC-ASP provides a flexible platform offering different types of reasoning: Nonmonotonic reasoning with defaults, checking consistency of a set of constraints on 3D cardinal directions between objects, explaining inconsistencies, and inferring missing CDC relations. We prove the soundness of 3D-NCDC-ASP, and illustrate its usefulness with applications.


Genetica ◽  
2004 ◽  
Vol 122 (3) ◽  
pp. 245-252 ◽  
Author(s):  
A. Susannah boyle ◽  
Mohamed A.F. Noor

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