scholarly journals FOLDING ELASTIC TRANSMEMBRANE HELICES TO FIT IN A LOW-RESOLUTION IMAGE BY ELECTRON MICROSCOPY

2011 ◽  
Vol 09 (supp01) ◽  
pp. 37-50 ◽  
Author(s):  
YUTAKA UENO ◽  
KAZUNORI KAWASAKI ◽  
OSAMU SAITO ◽  
MASAFUMI ARAI ◽  
MAKIKO SUWA
Keyword(s):  
Membrane Proteins ◽  
Structure Prediction ◽  
Molecular Model ◽  
Imaging Techniques ◽  
Transmembrane Helix ◽  
Prediction Method ◽  
Molecular Shape ◽  
Coarse Grained ◽  
Transmembrane Helices ◽  
Low Resolution

Structure prediction of membrane proteins could be constrained and thereby improved by introducing data of the observed molecular shape. We studied a coarse-grained molecular model that relied on residue-based dummy atoms to fold the transmembrane helices of a protein in the observed molecular shape. Based on the inter-residue potential, the α-helices were folded to contact each other in a simulated annealing protocol to search optimized conformation. Fitting the model into a three-dimensional volume was tested for proteins with known structures and resulted in a fairly reasonable arrangement of helices. In addition, the constraint to the packing transmembrane helix with the two-dimensional region was tested and found to work as a very similar folding guide. The obtained models nicely represented α-helices with the desired slight bend. Our structure prediction method for membrane proteins well demonstrated reasonable folding results using a low-resolution structural constraint introduced from recent cell-surface imaging techniques.

scholarly journals patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Hongjie Wu ◽  
Qiang Lü ◽  
Lijun Quan ◽  
Peide Qian ◽  
Xiaoyan Xia
Keyword(s):  
G Protein ◽  
Structure Prediction ◽  
Transmembrane Helix ◽  
3D Structure ◽  
G Protein Coupled Receptors ◽  
Ligand Docking ◽  
Molecular Function ◽  
Transmembrane Helices ◽  
G Protein Coupled ◽  
Multiple Template

The structures of the seven transmembrane helices of G-protein-coupled receptors are critically involved in many aspects of these receptors, such as receptor stability, ligand docking, and molecular function. Most of the previous multitemplate approaches have built a “super” template with very little merging of aligned fragments from different templates. Here, we present a parallelized multitemplate approach, patGPCR, to predict the 3D structures of transmembrane helices of G-protein-coupled receptors. patGPCR, which employs a bundle-packing related energy function that extends on the RosettaMem energy, parallelizes eight pipelines for transmembrane helix refinement and exchanges the optimized helix structures from multiple templates. We have investigated the performance of patGPCR on a test set containing eight determined G-protein-coupled receptors. The results indicate that patGPCR improves the TM RMSD of the predicted models by 33.64% on average against a single-template method. Compared with other homology approaches, the best models for five of the eight targets built by patGPCR had a lower TM RMSD than that obtained from SWISS-MODEL; patGPCR also showed lower average TM RMSD than single-template and multiple-template MODELLER.

scholarly journals Systematic Evaluation of the CS-Rosetta De Novo Structure Prediction Method for Membrane Proteins

2016 ◽  
Vol 110 (3) ◽  
pp. 39a
Author(s):  
Katrin Reichel ◽  
Olivier Fisette ◽  
Tatjana Braun ◽  
Gerhard Hummer ◽  
Oliver Lange ◽  
...  
Keyword(s):  
Membrane Proteins ◽  
Structure Prediction ◽  
De Novo ◽  
Prediction Method ◽  
Systematic Evaluation ◽  
Structure Prediction Method

scholarly journals The positive inside rule is stronger when followed by a transmembrane helix.

2015 ◽  
Author(s):  
Minttu T Virkki ◽  
Christoph Peters ◽  
Daniel Nilsson ◽  
Therese Sörensen ◽  
Susana Cristobal ◽  
...  
Keyword(s):  
Membrane Proteins ◽  
Transmembrane Helix ◽  
Specific Interactions ◽  
Transmembrane Helices ◽  
Terminal Part ◽  
Naturally Occurring ◽  
Charged Residues ◽  
Hydrophobic Helices ◽  
Hydrophobic Helix ◽  
Positively Charged

The translocon recognizes transmembrane helices with sufficient level of hydrophobicity and inserts them into the membrane. However, sometimes less hydrophobic helices are also recognized. Positive inside rule, orientational preferences of and specific interactions with neighboring helices have been shown to aid in the recognition of these helices, at least in artificial systems. To better understand how the translocon inserts marginally hydrophobic helices, we studied three \red{naturally occurring marginally hydrophobic} helices, which were previously shown to require the subsequent helix for efficient translocon recognition. We find no evidence for specific interactions when we scan all residues in the subsequent helices. Instead, we identify arginines located at the N-terminal part of the subsequent helices that are crucial for the recognition of the marginally hydrophobic transmembrane helices, indicating that the positive inside rule is important. However, in two of the constructs these arginines do not aid in the recognition without the rest of the subsequent helix, i.e. the positive inside rule alone is not sufficient. Instead, the improved recognition of marginally hydrophobic helices can here be explained as follows; the positive inside rule provides an orientational preference of the subsequent helix, which in turn allows the marginally hydrophobic helix to be inserted, i.e. the effect of the positive inside rule is stronger if positively charged residues are followed by a transmembrane helix. Such a mechanism can obviously not aid C-terminal helices and consequently we find that the terminal helices in multi-spanning membrane proteins are more hydrophobic than internal helices.

Simulation studies of the interactions between membrane proteins and detergents

2005 ◽  
Vol 33 (5) ◽  
pp. 910-912 ◽  
Author(s):  
P.J. Bond ◽  
J. Cuthbertson ◽  
M.S.P. Sansom
Keyword(s):  
Membrane Proteins ◽  
Membrane Protein ◽  
Self Assembly ◽  
Kinetic Mechanism ◽  
Coarse Grained ◽  
Simulation Studies ◽  
High Resolution Data ◽  
Biologically Relevant ◽  
Structure And Dynamics ◽  
Detergent Interactions

Interactions between membrane proteins and detergents are important in biophysical and structural studies and are also biologically relevant in the context of folding and transport. Despite a paucity of high-resolution data on protein–detergent interactions, novel methods and increased computational power enable simulations to provide a means of understanding such interactions in detail. Simulations have been used to compare the effect of lipid or detergent on the structure and dynamics of membrane proteins. Moreover, some of the longest and most complex simulations to date have been used to observe the spontaneous formation of membrane protein–detergent micelles. Common mechanistic steps in the micelle self-assembly process were identified for both α-helical and β-barrel membrane proteins, and a simple kinetic mechanism was proposed. Recently, simplified (i.e. coarse-grained) models have been utilized to follow long timescale transitions in membrane protein–detergent assemblies.

Specificity and promiscuity in membrane helix interactions

1994 ◽  
Vol 27 (2) ◽  
pp. 157-218 ◽  
Author(s):  
Mark A. Lemmon ◽  
Donald M. Engelman
Keyword(s):  
Membrane Proteins ◽  
Transmembrane Helix ◽  
Integral Membrane Proteins ◽  
Lipid Packing ◽  
Membrane Protein Folding ◽  
Membrane Spanning ◽  
Α Helix ◽  
Prosthetic Groups ◽  
Packing Effects ◽  
Helix Interactions

The membrane-spanning portions of many integral membrane proteins consist of one or a number of transmembrane α-helices, which are expected to be independently stable on thermodynamic grounds. Side-by-side interactions between these transmembrane α-helices are important in the folding and assembly of such integral membrane proteins and their complexes. In considering the contribution of these helix–helix interactions to membrane protein folding and oligomerization, a distinction between the energetics and specificity should be recognized. A number of contributions to the energetics of transmembrane helix association within the lipid bilayer will be relatively non-specific, including those resulting from charge–charge interactions and lipid–packing effects. Specificity (and part of the energy) in transmembrane α-helix association, however, appears to rely mainly upon a detailed stereochemical fit between sets of dynamically accessible states of particular helices. In some cases, these interactions are mediated in part by prosthetic groups.

scholarly journals Point Mutations in Transmembrane Helices 2 and 3 of ExbB and TolQ Affect Their Activities in Escherichia coli K-12

2004 ◽  
Vol 186 (13) ◽  
pp. 4402-4406 ◽  
Author(s):  
Volkmar Braun ◽  
Christina Herrmann
Keyword(s):  
Escherichia Coli ◽  
Amino Acid ◽  
Transmembrane Helix ◽  
Point Mutations ◽  
Transmembrane Helices ◽  
The Third ◽  
Form Part ◽  
K 12

ABSTRACT Replacement of glutamate 176, the only charged amino acid in the third transmembrane helix of ExbB, with alanine (E176A) abolished ExbB activity in all determined ExbB-dependent functions of Escherichia coli. Combination of the mutations T148A in the second transmembrane helix and T181A in the third transmembrane helix, proposed to form part of a proton pathway through ExbB, also resulted in inactive ExbB. E176 and T148 are strictly conserved in ExbB and TolQ proteins, and T181 is almost strictly conserved in ExbB, TolQ, and MotA.

Electronic structure and photocatalytic band offset of few-layer GeP2

2017 ◽  
Vol 5 (42) ◽  
pp. 22146-22155 ◽  
Author(s):  
Fazel Shojaei ◽  
Jae Ryang Hahn ◽  
Hong Seok Kang
Keyword(s):  
Crystal Structure ◽  
Electronic Structure ◽  
Structure Prediction ◽  
Prediction Method ◽  
Group Iv ◽  
Band Offset ◽  
Two Dimensional ◽  
Crystal Structure Prediction ◽  
T Phase ◽  
Structure Prediction Method

Based on a sophisticated crystal structure prediction method, we propose two-dimensional (2D) GeP2in the tetragonal (T) phase never observed for other group IV–V compounds.

scholarly journals Dynamical Behavior and Conformational Selection Mechanism of the Intrinsically Disordered Sic1 Kinase-Inhibitor Domain

Life ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 110 ◽  
Author(s):  
Davide Sala ◽  
Ugo Cosentino ◽  
Anna Ranaudo ◽  
Claudio Greco ◽  
Giorgio Moro
Keyword(s):  
Kinase Inhibitor ◽  
Dynamical Behavior ◽  
Md Simulations ◽  
Molecular Shape ◽  
Conformational Space ◽  
Coarse Grained ◽  
Conformational Ensemble ◽  
Selection Mechanism ◽  
Conformational Selection ◽  
Intrinsically Disordered

Intrinsically Disordered Peptides and Proteins (IDPs) in solution can span a broad range of conformations that often are hard to characterize by both experimental and computational methods. However, obtaining a significant representation of the conformational space is important to understand mechanisms underlying protein functions such as partner recognition. In this work, we investigated the behavior of the Sic1 Kinase-Inhibitor Domain (KID) in solution by Molecular Dynamics (MD) simulations. Our results point out that application of common descriptors of molecular shape such as Solvent Accessible Surface (SAS) area can lead to misleading outcomes. Instead, more appropriate molecular descriptors can be used to define 3D structures. In particular, we exploited Weighted Holistic Invariant Molecular (WHIM) descriptors to get a coarse-grained but accurate definition of the variegated Sic1 KID conformational ensemble. We found that Sic1 is able to form a variable amount of folded structures even in absence of partners. Among them, there were some conformations very close to the structure that Sic1 is supposed to assume in the binding with its physiological complexes. Therefore, our results support the hypothesis that this protein relies on the conformational selection mechanism to recognize the correct molecular partners.

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