Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking

Protein-protein interaction (PPI) is an essential mechanism by which proteins perform their biological functions. For globular proteins, the molecular characteristics of such interactions have been well analyzed, and many computational tools are available for predicting PPI sites and constructing st...

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Main Authors: Bian Li, Jeffrey Mendenhall, Jens Meiler
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:Computational and Structural Biotechnology Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S200103701930039X
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spelling doaj-ab2edc1e167f41d2854ce4d55b211e792020-11-25T00:45:35ZengElsevierComputational and Structural Biotechnology Journal2001-03702019-01-0117699711Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and DockingBian Li0Jeffrey Mendenhall1Jens Meiler2Department of Chemistry and Center for Structural Biology, Vanderbilt University, Nashville, TN 37232, USADepartment of Chemistry and Center for Structural Biology, Vanderbilt University, Nashville, TN 37232, USACorresponding author at: 465 21st Ave South, BIOSCI/MRBIII, Room 5144B, Nashville, TN 37232-8725, USA.; Department of Chemistry and Center for Structural Biology, Vanderbilt University, Nashville, TN 37232, USAProtein-protein interaction (PPI) is an essential mechanism by which proteins perform their biological functions. For globular proteins, the molecular characteristics of such interactions have been well analyzed, and many computational tools are available for predicting PPI sites and constructing structural models of the complex. In contrast, little is known about the molecular features of the interaction between integral membrane proteins (IMPs) and few methods exist for constructing structural models of their complexes. Here, we analyze the interfaces from a non-redundant set of complexes of α-helical IMPs whose structures have been determined to a high resolution. We find that the interface is not significantly different from the rest of the surface in terms of average hydrophobicity. However, the interface is significantly better conserved and, on average, inter-subunit contacting residue pairs correlate more strongly than non-contacting pairs, especially in obligate complexes. We also develop a neural network-based method, with an area under the receiver operating characteristic curve of 0.75 and a Pearson correlation coefficient of 0.70, for predicting interface residues and their weighted contact numbers (WCNs). We further show that predicted interface residues and their WCNs can be used as restraints to reconstruct the structure α-helical IMP dimers through docking for fourteen out of a benchmark set of sixteen complexes. The RMSD100 values of the best-docked ligand subunit to its native structure are <2.5 Å for these fourteen cases. The structural analysis conducted in this work provides molecular details about the interface between α-helical IMPs and the WCN restraints represent an efficient means to score α-helical IMP docking candidates. Keywords: Membrane protein interfaces, Membrane protein docking, Neural networks, Weighted contact numbershttp://www.sciencedirect.com/science/article/pii/S200103701930039X
collection DOAJ
language English
format Article
sources DOAJ
author Bian Li
Jeffrey Mendenhall
Jens Meiler
spellingShingle Bian Li
Jeffrey Mendenhall
Jens Meiler
Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking
Computational and Structural Biotechnology Journal
author_facet Bian Li
Jeffrey Mendenhall
Jens Meiler
author_sort Bian Li
title Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking
title_short Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking
title_full Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking
title_fullStr Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking
title_full_unstemmed Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking
title_sort interfaces between alpha-helical integral membrane proteins: characterization, prediction, and docking
publisher Elsevier
series Computational and Structural Biotechnology Journal
issn 2001-0370
publishDate 2019-01-01
description Protein-protein interaction (PPI) is an essential mechanism by which proteins perform their biological functions. For globular proteins, the molecular characteristics of such interactions have been well analyzed, and many computational tools are available for predicting PPI sites and constructing structural models of the complex. In contrast, little is known about the molecular features of the interaction between integral membrane proteins (IMPs) and few methods exist for constructing structural models of their complexes. Here, we analyze the interfaces from a non-redundant set of complexes of α-helical IMPs whose structures have been determined to a high resolution. We find that the interface is not significantly different from the rest of the surface in terms of average hydrophobicity. However, the interface is significantly better conserved and, on average, inter-subunit contacting residue pairs correlate more strongly than non-contacting pairs, especially in obligate complexes. We also develop a neural network-based method, with an area under the receiver operating characteristic curve of 0.75 and a Pearson correlation coefficient of 0.70, for predicting interface residues and their weighted contact numbers (WCNs). We further show that predicted interface residues and their WCNs can be used as restraints to reconstruct the structure α-helical IMP dimers through docking for fourteen out of a benchmark set of sixteen complexes. The RMSD100 values of the best-docked ligand subunit to its native structure are <2.5 Å for these fourteen cases. The structural analysis conducted in this work provides molecular details about the interface between α-helical IMPs and the WCN restraints represent an efficient means to score α-helical IMP docking candidates. Keywords: Membrane protein interfaces, Membrane protein docking, Neural networks, Weighted contact numbers
url http://www.sciencedirect.com/science/article/pii/S200103701930039X
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AT jeffreymendenhall interfacesbetweenalphahelicalintegralmembraneproteinscharacterizationpredictionanddocking
AT jensmeiler interfacesbetweenalphahelicalintegralmembraneproteinscharacterizationpredictionanddocking
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