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Probing designability via a generalized model of helical bundle geometry.

ABSTRACT: Because the space of folded protein structures is highly degenerate, with recurring secondary and tertiary motifs, methods for representing protein structure in terms of collective physically relevant coordinates are of great interest. By collapsing structural diversity to a handful of parameters, such methods can be used to delineate the space of designable structures (i.e., conformations that can be stabilized with a large number of sequences)-a crucial task for de novo protein design. We first demonstrate this on natural ?-helical coiled coils using the Crick parameterization. We show that over 95% of known coiled-coil structures are within 1-Å C(?) root mean square deviation of a Crick-ideal backbone. Derived parameters show that natural geometric space of coiled coils is highly restricted and can be represented by "allowed" conformations amidst a potential continuum of conformers. Allowed structures have (1) restricted axial offsets between helices, which differ starkly between parallel and anti-parallel structures; (2) preferred superhelical radii, which depend linearly on the oligomerization state; (3) pronounced radius-dependent a- and d-position amino acid propensities; and (4) discrete angles of rotation of helices about their axes, which are surprisingly independent of oligomerization state or orientation. In all, we estimate the space of designable coiled-coil structures to be reduced at least 160-fold relative to the space of geometrically feasible structures. To extend the benefits of structural parameterization to other systems, we developed a general mathematical framework for parameterizing arbitrary helical structures, which reduces to the Crick parameterization as a special case. The method is successfully validated on a set of non-coiled-coil helical bundles, frequent in channels and transporter proteins, which show significant helix bending but not supercoiling. Programs for coiled-coil parameter fitting and structure generation are provided via a web interface at http://www.gevorggrigoryan.com/cccp/, and code for generalized helical parameterization is available upon request.

SUBMITTER: Grigoryan G

PROVIDER: S-EPMC3052747 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature

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Probing designability via a generalized model of helical bundle geometry.

Grigoryan Gevorg G Degrado William F WF

Journal of molecular biology 20101007 4

Because the space of folded protein structures is highly degenerate, with recurring secondary and tertiary motifs, methods for representing protein structure in terms of collective physically relevant coordinates are of great interest. By collapsing structural diversity to a handful of parameters, such methods can be used to delineate the space of designable structures (i.e., conformations that can be stabilized with a large number of sequences)-a crucial task for de novo protein design. We firs ...[more]

PMID: 20932976

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Project description:One of the most crucial characteristic traits of Envelope (E) proteins in the severe acute respiratory syndrome SARS-CoV-1 and NCOVID19 viruses is their membrane-associated oligomerization led ion channel activity, virion assembly, and replication. NMR spectroscopic structural studies of envelope proteins from both the SARS CoV-1/2 reveal that this protein assembles into a homopentamer. Proof of concept studies via truncation mutants on either transmembrane (VFLLV), glycosylation motif (CACCN), hydrophobic helical bundle (PVYVY) as well as replacing C-terminal "DLLV" segments or point mutants such as S68, E69 residues with cysteine have significantly reduced viral titers of SARS-CoV-1. In this present study, we have first developed SARS-2 E protein homology model based on the pentamer coordinates of SARS-CoV-1 E protein (86.4% structural identity) with good stereochemical quality. Next, we focused on the glycosylation motif and hydrophobic helical bundle regions of E protein shown to be important for viral replication. A four feature (4F) model comprising of an acceptor targeting S60 hydroxyl group, a donor feature anchoring the C40 residue, and two hydrophobic features anchoring the V47 L28, L31, Y55, and P51 residues formed the protein based pharmacophore model targeting the glycosylation motif and helical bundle of E protein. Database screening with this 4F protein pharmacophore, ADMET property filtering on enamine small molecule discovery collection yielded a focused library of ~7000 hits. Further molecular docking and visual inspection of docked pose interactions at the above mention V47 L28, L31, Y55, P51, S60, C40 residues led to the identification of 10 best hits. Our STD NMR binding assay results demonstrate that the ligand 3, 2-(2-amino-2-oxo-ethoxy)-N-benzyl-benzamide, binds to NCOVID19 E protein with a binding affinity (KD) of 141.7 ± 13.6 μM. Furthermore, the ligand 3 also showed binding to C-terminal peptide (NR25) as evidenced with the STD spectrums of wild type E protein would serve to confirm the involvement of C-terminal helical bundle as envisaged in this study.

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Probing designability via a generalized model of helical bundle geometry.

Publications

Probing designability via a generalized model of helical bundle geometry.

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