Hepatitis C Virus (HCV) causes chronic infection in more than 50% of the infected individuals and may lead to fatal liver complications (
1). More than 200 million people across the globe are chronically infected with HCV (
2). Chronic HCV infection can lead to complex sequela, including diabetes, steatosis, cirrhosis, and ultimately hepatocellular carcinoma (HCC) (
3). The primary objective of HCV treatment is to inhibit and consequently eradicate HCV RNA by having sustained virological response (SVR) against the infected virus. Treatment effectiveness is defined by the absence of detectable HCV RNA in the patient serum using the polymerase chain reaction after anti-viral treatment for six months (
4). The desirability of novel broad-spectrum anti-viral drugs in the recent years has been considered as a way of providing effective treatment against a wide range of viruses, yet the risk of disease relapse has reduced R&D expenditures linked with designing and developing individual drugs targeted at individual viruses. Targeting of host factors of HCV replication is a new approach for the design and development of small inhibitors with maximum anti-HCV activity. These direct acting drugs have been shown to be effective while nucleoside/nucleotide transcriptase inhibitors are susceptible to failure due to the development of viral resistance mutations (
5). Thiazolides belong to a class of inhibitors that induce phosphorylation of eIF2-alpha through PKR activation and thus block protein synthesis (
6). Romark was the first to use nitazoxanide as a possible therapy against chronic HCV infection (
7). Clinical trials for the therapeutic effect of this compound against chronic HCV infectivity showed that the effect of this compound involved modulation of host cellular response against the virus (
8). Nitazoxanide is a thiazolide derivative, which activates the host’s protein kinase R (PKR) anti-viral pathway. Protein kinase R activation results in phosphorylation of initiation factor α (eIF2-α) of eukaryotic cells, which starts a complex network of signaling cascade that triggers an anti-HCV response in the host (
9). Nitazoxanide activates PKR signaling, which results in spontaneous antiviral response. Studies on anti-HCV activity by nitazoxanide against genotype 4 have shown 80% SVR in combination with peg-interferon-alpha, versus 50% for peg-interferon-alpha alone (
4,
10). In 2008, Korba et al. showed that thiazolide derivatives like nitazoxanide and tizoxanide were promising inhibitors of HBV and HCV. Currently, many studies are in progress to investigate the long-term effects of nitazoxanide, including a recent Phase 2 trial, to study the potential for the development of drug resistant mutants in HCV (
11,
12).
The potential development of resistance by HCV against tizoxanide was studied in liver cell line Huh-7 transfected with genotype 1b replicons, which was later incubated with increasing amounts of tizoxanide for 24 weeks. Hepatitis C virus was not shown to develop resistance to tizoxanide and sequencing of viral genome failed to detect distinctive resistance mutations. These findings confirmed a host-mediated mechanism of action with no detectable development of viral resistance (
11,
13).
Recent studies utilizing Bovine viral diarrhoea virus (BVDV) as an alternate model for HCV infectivity, have shown that nitazoxanide hinders BVDV cytosolic and non-cytosolic replication by a system that involves PKR phosphorylation of eIF2-a. It was also shown that nitazoxanide diminishes ATP-sensitive intracellular Ca
2+ stores resulting in mild endoplasmic reticulum (ER) stress, which changes N-linked glycosylation of viral envelope proteins (
14). Mathematical models, based on polynomial-representations of chemical compounds, can be used to predict their properties [a]. Several algebraic polynomials have useful applications [c,d, e] in chemistry, such as Hosoya polynomial (also called Wiener polynomial) (
6), which play a vital role in determining distance-based topological indices. Weiner, in 1947, approximated the boiling point of alkanes as αW(G) + βP
3 + γ where α, β, and γ are empirical constants, W(G) is the Weiner index, and P
3 is the number of paths of length 3 in G (
2,
11). Thus, Weiner laid the foundation of topological index, which is also known as the connectivity index. Many chemical experiments require determination of the chemical properties of emerging compounds, polymers, and nanomaterials. Chemical-based experiments have revealed that out of more than 145 topological indices, no single index is strong enough to determine physio-chemical properties, although, in combination, these topological indices can achieve this.
In chemical graph theory, a graph is an ordered pair of vertex set V(G) and edge set E(G). It is connected if there exists a path between any pair of vertices in G. A simple graph has no multiple edge and loops. The number of vertices of G, adjacent to a given vertex v, is the “degree” of this vertex, and will be denoted by d
v(G) or, if misunderstanding is not possible, simply by d
v. Distance d(u,v) is the length of the shortest path between vertices u and v. For details on basics of graph theory, any standard text, such as (
12), can be of great help. Throughout this article we work on graphs with the following fixed notations:
dv is the degree of a vertex v, V{k} = {v ϵV(G)| dv = k},




And mij(G) is the number of edges of G, such that {dv, du} = {I, j}. In 1988, Hosoya conceived a graph polynomial, which he named “Wienerpolynomial”, but which most contemporary authors call the “Hosoya polynomial”. It is defined as [f], H (G,x) = Ʃk≥1 d (G, k)xk, where d (G, k) is the number of pairs of vertices of graphs k distance apart and k runs from 1 to maximum distance, also referred as the diameter of the graph.
It is a wellestablished fact that many important distance-based indices can be easily derived from Hosoya polynomial, for example [f].
W(G) = H′ (G, 1), where prime over H represents the first derivative in calculus. Similar definitions for other distance-based indices, which can be derived from Hosoya polynomial, are given in [f]. Wiener index, also called Wiener number, is a topological invariant of a molecule, defined as the sum of the lengths of the shortest path between all pairs of vertices of a graph, representing the non-hydrogen atoms in the molecule (
15). The Wiener index was defined by Harry Wiener in 1947 and he called it the “path number” (
16). It was the first ever topological index used for molecular branching (
17). This discovery led to the calculation of many other topological indices of chemical graphs, derived from the distance matrix of the graph.
The same concept was studied in pure mathematics, mostly in graph theory, by different names like the distance of a graph, the gross status, and the transmission. The Wiener index is strongly linked to the closeness of centrality of a vertex in a graph, a quantity inversely proportional to the sum of all distances among a given vertex and all other vertices (
16,
18-
22).
The basic focus of the present study was to compute Hosoya polynomial and Wiener indices for 8 derivatives of thiazolides. The Wiener index could be a valuable tool for the calculation of physiochemical properties of the selected compounds, which in turn will help determine the stability of the compound in a given biological system. To the best of the author’s knowledge, this is the first study carried out to calculate the physiological properties of thiazolides, using the Wiener index.
Biologically stable compounds have the ability to stay in the body for a long time without being flushed out or degraded. In the case of interferon, by pegylated interferon, the retention of interferon inside the body increases, which decreases the dosage needed to be administered. Calculation of drug stability is a promising area of research in drug design strategies. This study can be helpful in calculating the stability of anti-viral compounds in a much more suitable and precise way prior to analyzing in vitro mechanisms of action.