  A dynamical system obtains a wide variety of kinetic realizations, which is
advantageous for the analysis of biochemical systems. A reaction network,
derived from a dynamical system, may or may not possess some properties needed
for a thorough analysis. We improve and extend the work of M. Johnston
\cite{JOHN2014} and Hong et al. \cite{HONG2023} on network translations to
network transformations, where the network is modified while preserving the
dynamical system. These transformations can shrink, extend, or retain the
stoichiometric subspace. Here, we show that positive dependent network can be
translated to a weakly reversible network. Using the kinetic realizations of
(1) calcium signaling in the olfactory system and (2) metabolic insulin
signaling, we demonstrate the benefits of transformed systems with positive
deficiency for analyzing biochemical systems. Furthermore, we present an
algorithm for a network transformation of a weakly reversible non-complex
factorizable kinetic (NFK) system to a weakly reversible complex factorizable
kinetic (CFK) system, thereby enhancing the Subspace Coincidence Theorem for
NFK systems of Nazareno et al. \cite{NAZA2019}. Finally, using the transformed
kinetic realization of monolignol biosynthesis in \textit{Populus xylem}, we
study the structural and kinetic properties of transformed systems,including
the invariance of concordance and variation of injectivity and
mono-/multi-stationarity under network transformation.
