Abstract:The 63 amino acid polytopic membrane protein, p7, encoded by hepatitis C virus (HCV) is involved in the modulation of electrochemical gradients across membranes within infected cells. Structural information relating to p7 from multiple genotypes has been generated in silico (e.g. genotype (GT) 1a), as well as obtained from experiments in form of monomeric and hexameric structures (GTs 1b and 5a, respectively). However, sequence diversity and structural differences mean that comparison of their channel gating b… Show more
“…In the case of p7 of HCV, the idea of a titrable histidine within TMD1 of the protein facing a putative pore can still be validated with models of monomers derived from experiments which are assembled into a bundle. Protein p7 in a parallel aligned arrangement of the two membrane spanning segments is extensively simulated [87,88]. Analysis of the TMDs using RMSF data allows us to support the experimental findings [47] that both of the TMDs are literally separated into two 'sub-helical' segments with alternate dynamics.…”
Section: Computational Derived Models and Their Matches With Experimementioning
confidence: 88%
“…In a consecutive step, the polytopic monomer then needs to be docked to form the respective oligomer. [87,88] as well as models of 3a of SARS-CoV which contains three TMDs per monomer [77] have been generated.…”
Section: From Secondary To Tertiary and Quaternary Structurementioning
Viral channel forming proteins (VCPs) have been discovered in the late 70s and are found in many viruses to date. Usually they are small and have to assemble to form channels which depolarize the lipid membrane of the host cells. Structural information is just about to emerge for just some of them. Thus, computational methods play a pivotal role in generating plausible structures which can be used in the drug development process. In this review the accumulation of structural data is introduced from a historical perspective. Computational performances and their predictive power are reported guided by biological questions such as the assembly, mechanism of function and drug-protein interaction of VCPs. An outlook of how coarse grained simulations can contribute to yet unexplored issues of these proteins is given. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.
“…In the case of p7 of HCV, the idea of a titrable histidine within TMD1 of the protein facing a putative pore can still be validated with models of monomers derived from experiments which are assembled into a bundle. Protein p7 in a parallel aligned arrangement of the two membrane spanning segments is extensively simulated [87,88]. Analysis of the TMDs using RMSF data allows us to support the experimental findings [47] that both of the TMDs are literally separated into two 'sub-helical' segments with alternate dynamics.…”
Section: Computational Derived Models and Their Matches With Experimementioning
confidence: 88%
“…In a consecutive step, the polytopic monomer then needs to be docked to form the respective oligomer. [87,88] as well as models of 3a of SARS-CoV which contains three TMDs per monomer [77] have been generated.…”
Section: From Secondary To Tertiary and Quaternary Structurementioning
Viral channel forming proteins (VCPs) have been discovered in the late 70s and are found in many viruses to date. Usually they are small and have to assemble to form channels which depolarize the lipid membrane of the host cells. Structural information is just about to emerge for just some of them. Thus, computational methods play a pivotal role in generating plausible structures which can be used in the drug development process. In this review the accumulation of structural data is introduced from a historical perspective. Computational performances and their predictive power are reported guided by biological questions such as the assembly, mechanism of function and drug-protein interaction of VCPs. An outlook of how coarse grained simulations can contribute to yet unexplored issues of these proteins is given. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.
“…The monomer was adopted from the work of Kalita et al . In brief, the two predicted TMDs of p7 were aligned antiparallel and screened using a 2D docking program written with the scripting language ‘scientific vector language’ of MOE (v2012.10, Molecular Operation Environment, http://www.chemcomp.com).…”
A series of ligands are known experimentally to affect the infectivity cycle of the hepatitis C virus. The target protein for the ligands is proposed to be p7, a 63 amino acid polytopic channel-forming protein, with possibly two transmembrane domains. Protein p7 is found to assemble into functional oligomers of various sizes, depending on the genotype (GT). Nine ligands are docked to various sites of a computationally derived heptameric bundle of p7 of GT1a. The energy of interaction, here binding energy, is calculated using three different docking programs (Autodock, MOE, LeadIT). Three protein regions are defined to which the ligands are placed, the loop region and the site with the termini as well as the mid-region which is supposed to track poses inside the putative pore. A common feature is that the loop sites and poses either within the pore or at the intermonomer space of the bundle are preferred for all ligands with proposed binding energies smaller than -10 kJ/mol. BIT225, benzamine, amantadine, and NN-DNJ show good overall scoring.
“…All-atom simulations were also applied to develop a model for the Paramecium bursaria chlorella virus type 1 (PBCV-1) Kcv potassium channel to probe structure-function relationships [97, 98] and elucidate its mechanism of ion transport [99]. More recently, all-atom simulations were employed to determine the structure of the hepatitis C virus (HCV) p7 viroporin monomer [100] and to model various channel oligomer states, enabling characterization of their dynamics and conductance properties [101, 102, 103, 104, 105]. …”
The constant threat of viral disease can be combated by the development of novel vaccines and therapeutics designed to disrupt key features of virus structure or infection cycle processes. Such development relies on high-resolution characterization of viruses and their dynamical behaviors, which are often challenging to obtain solely by experiment. In response, all-atom molecular dynamics simulations are widely leveraged to study the structural components of viruses, leading to some of the largest simulation endeavors undertaken to date. The present work reviews exemplary all-atom simulation work on viruses, as well as progress toward simulating entire virions.
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