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Molecular model of SARS coronavirus polymerase: implications for biochemical functions and drug design.

ABSTRACT: The causative agent of severe acute respiratory syndrome (SARS) is a previously unidentified coronavirus, SARS-CoV. The RNA-dependent RNA polymerase (RdRp) of SARS-CoV plays a pivotal role in viral replication and is a potential target for anti-SARS therapy. There is a lack of structural or biochemical data on any coronavirus polymerase. To provide insights into the structure and function of SARS-CoV RdRp, we have located its conserved motifs that are shared by all RdRps, and built a three-dimensional model of the catalytic domain. The structural model permits us to discuss the potential functional roles of the conserved motifs and residues in replication and their potential interactions with inhibitors of related enzymes. We predict important structural attributes of potential anti-SARS-CoV RdRp nucleotide analog inhibitors: hydrogen-bonding capability for the 2' and 3' groups of the sugar ring and C3' endo sugar puckering, and the absence of a hydrophobic binding pocket for non-nucleoside analog inhibitors similar to those observed in hepatitis C virus RdRp and human immunodeficiency virus type 1 reverse transcriptase. We propose that the clinically observed resistance of SARS to ribavirin is probably due to perturbation of the conserved motif A that controls rNTP binding and fidelity of polymerization. Our results suggest that designing anti-SARS therapies can benefit from successful experiences in design of other antiviral drugs. This work should also provide guidance for future biochemical experiments.

SUBMITTER: Xu X

PROVIDER: S-EPMC291860 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Mathematical modeling of biochemical pathways is an important resource in Synthetic Biology, as the predictive power of simulating synthetic pathways represents an important step in the design of synthetic metabolons. In this paper, we are concerned with the mathematical modeling, simulation, and optimization of metabolic processes in biochemical microreactors able to carry out enzymatic reactions and to exchange metabolites with their surrounding medium. The results of the reported modeling approach are incorporated in the design of the first microreactor prototypes that are under construction. These microreactors consist of compartments separated by membranes carrying specific transporters for the input of substrates and export of products. Inside the compartments of the reactor multienzyme complexes assembled on nano-beads by peptide adapters are used to carry out metabolic reactions. The spatially resolved mathematical model describing the ongoing processes consists of a system of diffusion equations together with boundary and initial conditions. The boundary conditions model the exchange of metabolites with the neighboring compartments and the reactions at the surface of the nano-beads carrying the multienzyme complexes. Efficient and accurate approaches for numerical simulation of the mathematical model and for optimal design of the microreactor are developed. As a proof-of-concept scenario, a synthetic pathway for the conversion of sucrose to glucose-6-phosphate (G6P) was chosen. In this context, the mathematical model is employed to compute the spatio-temporal distributions of the metabolite concentrations, as well as application relevant quantities like the outflow rate of G6P. These computations are performed for different scenarios, where the number of beads as well as their loading capacity are varied. The computed metabolite distributions show spatial patterns, which differ for different experimental arrangements. Furthermore, the total output of G6P increases for scenarios where microcompartimentation of enzymes occurs. These results show that spatially resolved models are needed in the description of the conversion processes. Finally, the enzyme stoichiometry on the nano-beads is determined, which maximizes the production of glucose-6-phosphate.

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Molecular model of SARS coronavirus polymerase: implications for biochemical functions and drug design.

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