Recent studies have focused on the similarity between
SARS
Cov
-2 and various viruses from the Coronaviridae family (such as
MERS
Cov
,
SARS
Cov
and
Bat
Cov
RaTG
13) to uncover the mystery of
SARS
Cov
-2. Specifically, some studies identified that the
SARS
Cov
-2 is closely related to
Bat
Cov
RaTG
13 (a
SARS
-related coronavirus found in bats) rather than the other viruses in that family. These studies are mainly focusing on the biological techniques to show the similarity between the
SARS
Cov
-2 and other viruses. Examining proteins is not easy for common researchers unless for biologists. To rectify this flaw, we have to convert the protein to one of the known formats, which are easy to understand. Consequently, this study uses viral structural proteins to analyse the relationship between
SARS
Cov
-2 and the rest of the coronavirus with the help of mathematical and statistical parameters and explores the various graph representations of
MERS
Cov
,
SARS
Cov
,
Bat
Cov
RaTG
13 and
SARS
Cov
-2 structural proteins, such as zig–zag curve, Protein Contact Map (
) and Chaos Game Representation (
). Though these graph interpretations are visually similar, a slight variation between the graphs reflects their structural and functional differences. Thus, we use an elegant parameter known as the fractal dimension to observe their minor changes. According to the nature of the graph, we employ different types of fractal dimensions, namely mass dimension and box dimension. Furthermore, we perform the similarity tests with normalized cross-correlation and cosine similarity to assess the comparability of the
and
graphs. The acquired
values are near the sequence identity between
SARS
Cov
-2 and
MERS
Cov
,
SARS
Cov
,
Bat
Cov
RaTG
13.