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\begin{document}

\title{Quantum Kerr- (A) Ds Galilean Myers-- Perr driven gravitational
transformations for the anti-COVID-19 RoccuffirnaTM drug design.}



\author[1]{Ioannis Grigoriadis}%
\affil[1]{Biogenea Pharmaceuticals Ltd}%


\vspace{-1em}



  
  \date{May 21, 2024}


\begingroup
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\selectlanguage{english}
\begin{abstract}
General methods to quantize reference frame transformations, to a
``superposition of coordinate transformations'' have been previously
introduced on an array of recent observations developed through
gravitational amplification of primeval density fluctuations generated
in the exceedingly early phase of cosmic evolution. In this paper, we
strongly combine machine learning characteristics to Quantum Kerr- (A)
dS-Myers--Perry black microBlackHole-Inspired Gravitational for both
Euclidean and Lorentzian signatures in Practice. I provide algorithms by
means of mean percentile free energy ranking, in a new recall-based
evaluation metric for the generation of an anti-COVID-19 small molecule
combination of RoccuffirnaTM, RoccuttirnaTM, and EplerotiffirnaTM anti-
(nCoV-19) ligands. In this paper, I show that the notion of entanglement
and superposition are observer-dependent features in quantum circuit
reference frames including Galilean trans formation, and near-horizon
symmetries ranging from supergravity theories to Lorentzian
cryptographic signatures to enhance the RoccuffirnaTM's gravity to trap
the SARS-COV-2 viruses in practice.%
\end{abstract}%



\sloppy


\textbf{Quantum Kerr- (A) Ds Galilean Myers-- Perr driven gravitational
transformations for the anti-COVID-19 RoccuffirnaTM drug design.}

\begin{enumerate}
\tightlist
\item
  \textbf{Department of Biogenetoligandorol -QMMIDDDQPRPICAMACHNOT
  /QIICDNNDCA ADMETQIICDNNDCA Stations}.
\item
  \textbf{Aristotle University of Thessaloniki}, \textbf{Biogenea
  Pharmaceuticals Ltd -- Greece}.
\item
  \textbf{Cell-Pharmacy Ltd}, \textbf{Personalized SynthocureTM
  Stations}.
\end{enumerate}

\textbf{Grigoriadis Ioannis* email:\emph{jgrigoriadis@biogenea.gr}}

\emph{tel:+306936592686}

\textbf{ORCID iD: https://orcid.org/0000-0002-8443-1777}

Keywords: QRFQFT based Lorentzian Cryptographic signatures, Quantum
Kerr- \textbf{(} A\textbf{)} Ds Galilean Myers-- Perr driven
gravitational transformations, anti-COVID-19, RoccuffirnaTM evolutionary
drug design, cryptographic signatures,

\textbf{ABSTRACT}

\textbf{General methods to quantize reference frame transformations, to
a ``superposition of coordinate transformations'' have been previously
introduced on an array of recent observations developed through
gravitational amplification of primeval density fluctuations generated
in the exceedingly early phase of cosmic evolution. In this paper, we
strongly combine machine learning characteristics to Quantum Kerr- (A)
dS-Myers--Perry black microBlackHole-Inspired Gravitational for both
Euclidean and Lorentzian signatures in Practice. I provide algorithms by
means of mean percentile free energy ranking, in a new recall-based
evaluation metric for the generation of an anti-COVID-19 small molecule
combination of RoccuffirnaTM, RoccuttirnaTM, and EplerotiffirnaTM anti-
(nCoV-19) ligands. In this paper, I show that the notion of entanglement
and superposition are observer-dependent features in quantum circuit
reference frames including Galilean trans formation, and near-horizon
symmetries ranging from supergravity theories to Lorentzian
cryptographic signatures to enhance the RoccuffirnaTM's gravity to trap
the SARS-COV-2 viruses in practice.}\selectlanguage{english}
\begin{figure}[H]
\begin{center}
\includegraphics[width=0.70\columnwidth]{figures/image1/image1}

\end{center}
\end{figure}

\textbf{SIGNIFICANT STATEMENTS}

In this original research paper, I write the Schr\selectlanguage{ngerman}ödinger equation in
quantum reference frames. As a part of this project that the quantum
canonical transformations are defined outside of the Hilbert space, we
finally designed small molecules the RoccuffirnaTM's chemical structures
that comprising the highest binding free energy docking values based on
reliable comparisons of numerical cryptographical models with observed
docking data by using Galilean Black Hole Transformations, Quantum
chemistry phenomena, and Pharmacophoric Merging
Hyper-algorithms.\textbf{~(} 31, 32, 37-43\textbf{)~} As a by-product of
the fact that the quantum canonical transformations are defined outside
of the Hilbert space, I was able of the QMMM construction of the
Roccuffirna small molecule by introducing numerical cosmological
calculations to investigate different quantum chemistry phenomena.

\textbf{INTRODUCTION}

The emergence of a novel coronavirus infection causing new Severe acute
respiratory syndrome coronavirus 2 \textbf{(}
SARS-CoV-2\textbf{),}coronavirus \textbf{(} nCoV-19\textbf{)} has
brought tremendous impact on worldwide health, \textbf{(} 1, 2, 3, 4,
5\textbf{)} whilst the chemogenomic interactions between the virus and
the human is widely recognized to be critical foundation in responding
the current outbreak the of the COVID2019 disease. Systems using DNA as
a one-time code pad in a steganographic approach have been described
\textbf{(} 15\textbf{).}In work by Gehani et al. they proposed use of
DNA codes assembled from short oligonucleotide sequences, into one-time
pads. They further assume that the one-time pads can be kept as a
pre-shared secret. The approach relies on encoding the plaintext through
a DNA substitution a bit-wise XOR function between the plaintext and the
DNA sequence. They also propose that the language for creating the DNA
ciphertext be disjoint from the plaintext. Gehani also proposes an
approach with biological instantiation \textbf{(} 5\textbf{). (} 6, 7,
8, 9, 10, 11, 12\textbf{)}The virus has been named severe acute
respiratory syndrome--coronavirus 2 \textbf{(} SARS-CoV-2\textbf{) (}
3\textbf{)} because the RNA genome is about 82\% identical to that of
the SARS coronavirus\textbf{(} SARS-CoV\textbf{)} ; both viruses belong
to clade b of the genus Beta-coronavirus \textbf{(} 1, 2\textbf{)}
caused an outbreak of severe pulmonary disease in China, in the city of
Wuhan, the capital of Hubei province and was initially detected in
Himalayan palm civets\textbf{(} Guan et al., 2003\textbf{)} that may
have served as an amplification host. The civet virus contained a
29-nucleotide sequence not found in most human isolates that were
related to the global epidemic and thus, can be is considered as
druggable targets.\textbf{(} 1-4, 13, 14, 15, 16\textbf{)} It has been
speculated that the function of the affected open reading frame
\textbf{(} ORF 10\textbf{)}might have played an important role in the
trans-species jump infections. \textbf{(} 17, 18, 19, 20, 21\textbf{)} A
similar virus was found later in horseshoe bat \textbf{(} 13-20, 21, 22,
23, 24, and 25\textbf{).} Structural and biochemical characterizations
have indicated to us that a 29-bp insertion in ORF 8 of bat-SARS-CoV
genome, not found in most human SARS-CoV genomes of a common ancestor
with civet SARS-CoV \textbf{(} 11-17, 18-23, 24, 25, 26, 27\textbf{).}
Numerical investigations and Equilibrium black-hole cryptography
solutions to Einstein's Eqs have been known since the advent of general
relativity. DNA signatures based on integration sites between the
transgene insert and the flanking DNA make use of the same idea. While
these types of signatures have been the paradigm of GMO detection for
decades, this article strongly challenges the function of such
signatures, especially relative to intended manipulations. Both
traditionally and in the cyber-domain, signatures have long served as a
valuable tool to guarantee the integrity and authenticity of the
document being signed. However, the very concept of signatures in the
cyber-realm first needed to be redressed as the Internet is Susceptible
to intrusions that are not existent in the traditional setting.
Analogously, it is argued here, that unique signature vulnerabilities
exist in the biologic domain. A very recent study \textbf{(} Mueller,
2019\textbf{)} demonstrates that the existing DNA signature paradigm may
be exploited via previously unrecognized for ms of attack \textbf{(}
5\textbf{). (} 29, 30\textbf{)}By studying geometrical and mathematical
principles of the quantum fields in a black-hole background, on the
geometric framework Hawking demonstrated that this is not a mere analogy
and in fact quantum mechanically black holes in which astrophysical
processes occur, are a thermodynamic system. \textbf{(} 29, 30, 31,
32\textbf{) (} Quantitative\textbf{)} Structure-Activity
Relationships\textbf{((} Q\textbf{)} SARs\textbf{)} Tools for artificial
intelligence and data mining can derive in an objective and reproducible
approximation of relative quantities and topological descriptors for
finding eigenvectors, eigenvaluesby applying general solutions of the
wave equationof Lamarckian-Laplacian paired with advanced machine
learning algorithmsto for mulate an extension of the weak equivalence
principle in chemical entities for generalizing small molecules into
multi-targeted scaffolds. \textbf{(} 30, 31, 32, 33\textbf{)} The state
of a physical system has no absolute quantum meaning but is only defined
relative to pharmacophoric reference framesin a special-relativistic or
in a general-relativistic context when describing the motion of the
ligand-receptor system. The same system may be associated to different
states in different reference frames, which are normally related via
some reference frame trans formation. From a physical point of view, a
frame of reference is an abstraction of an idealized physical system:
for example, an ideal rigid body can serve as a reference frame to
define relative spatial distances and orientations of other objects. In
classical physics, a coordinate transformationis used to trans for m the
description of the system under consideration between two different
reference frames. These transformations include, for example, spatial
rotations and translations in space and time or constant relative motion
of the frames \textbf{(} e. g., Galilean transformations\textbf{).} In
general, the dynamical physical laws are invariant under some group of
transformations. for instance, the laws of non-relativistic physics are
invariant under Galilean transformations. In every physical laboratory
situation, the reference frame is realized through a physical system. As
any physical system, it ultimately behaves according to the laws of
quantum mechanics. Therefore, one might see the standard treatment of
reference-frame transformations as an approximation to a more
fundamental set of transformations. Specifically, one should consider
the possibility that one laboratory, from the perspective of another
laboratory, might appear in a superposition or even become entangled
with the system. Hence, the relationship between the two laboratories
becomes more than a simple coordinate transformationbetween classical
reference frames; it becomes a fundamentally quantum relationship. We
may then speak about transformations between quantum reference
frames\textbf{(} QRFs\textbf{).} for example, we can imagine that common
virtual screening method and the fragmentizing of one chemical scaffold
are fixed to a multi-targeted chemical entity that is in a superposition
of position states with respect to the reference frame of other approved
FDA small molecules. Can we meaningfully define transformations between
such QRFs? Which transformations relate quantum states of pharmacophoric
systems defined with respect to one chemical frame of reference to those
pharmacophoric characters defined with respect to a second frame of
reference? What are the black-hole solutions and dynamical physical laws
are relatively invariant under such quantum symmetrical transformations?
In this article, we discuss the various ways, singularities, and quantum
in formation numerical methods about extremely specific molecular
modeling problems to symmetrize chemical models where as extremal black
hole geometries allowed us toaddress the composition, organization, and
dynamics of a quantum reference frame in a nanoscale, for the
computation of topological links and tangles and invariants of knots,
through a stochastic discrete optimization procedure to rule out
possible topologies, in diverse dimensions and theories. \textbf{(} 32,
33, 34, 35, 36, 37\textbf{)} We also investigated lead optimization
docking protocolsin quantum mechanics, that relies on the noiseless
Subsystem reference frame method in combination with idealized 2D
chemical symmetries to simplifying free energy assumptions with either
idealized symmetries regarding the entropy-driven docking behavior, the
new ligand's pharmacometrics behavior, and the protein-ligand
interactions among the protein-ligand complexes\textbf{(} 38\textbf{).
(} 34, 35, 36, 37, 38, 39, 40\textbf{)} Our technique is motivated by a
Bayesian based approach in quantum reference frames with in a quantum
state as an outside for ce that tries to intercept and read the encoded
chemical datawhich sometimes rendered biased fingerprintfragment where
as Einstein's chaotic as well Mixmaster behaviors can be studied in the
context of Hamiltonian dynamics, with the Hamiltonian 2\selectlanguage{english}H=\selectlanguage{english}-p2\selectlanguage{greek}Ω\selectlanguage{english}+p2++ [?] [?]
[?]Z M[?] [?] [?] CS \textbf{(} A\textbf{)}cos\selectlanguage{greek}θ\selectlanguage{english}j++- [?] [?] [?]Z M[?] [?] [?] CS \textbf{(}
A\textbf{)} cos\selectlanguage{greek}θ\selectlanguage{english}j++ p2-+e4\selectlanguage{greek}Ω\selectlanguage{english}\textbf{(} V-1\textbf{),} to protect quantum
states against undesired noise in terms of quantitative
structure-activity relationship\textbf{(} QSAR\textbf{). (} 38, 39, 40,
41, 42, 43\textbf{)}Here, for the first time we developed relational
theories that predicts a fundamental decoherence mechanism by combining
statistical significance, black-hole cryptography solutions to
Einstein's Eqs and putative visualizations of time emerges from a
time-symmetric theory on virtual compound libraries for per for ming
quantum cryptographic communications in a quantum system relative to the
quantum reference frame for pharmacophoric systems generally.\textbf{(}
31-42, 43\textbf{)} Moreover, our model circumvents the problem of the
--collapse of the wave packet|| as the probability interpretation is only
ever applied to diagonal density operators.\textbf{(} 30,
31-37\textbf{)} Turning to the dynamics, we propose an extension of the
notion of covariance of the physical laws to include genuine quantum
transformations, where one frame of reference is in a superposition of
different relative positions, momenta, or velocities with respect to
another frame of reference for generalizing chemical characters in a
quantum pharmacophoric system. Here we investigated the conditions under
which, in a quantum reference frame, and its own degrees of freedom,
which can be in quantum superposition or entangled and evolve in time
according to an account in terms of absolute quantities can provide a
good approximation of relative quantities and topological descriptors
for finding eigenvectors and eigenvalues of the combinatorial
Lamarckian-Laplacian paired with advanced machine learning algorithms,
such as the data mining, AI-Quantum computing, entanglement complexity
guidelines for \textbf{(} Q\textbf{)} SAR requirements as well as per
for mance implications, such as deep neural network\textbf{(}
DNN\textbf{),} random for est \textbf{(} RF\textbf{),} and gradient
boosting decision tree \textbf{(} GBDT\textbf{),} to facilitate their
applications to quantitative toxicity and fragment based drug design
predictions. (34, 35, 36-37) In this hybrid drug designing approach, we
applied an operational formalism black-hole solutions to Einstein's Eqs
for per for ming relational reference frame theory quantum
communications into neural matrix factorizations, cryptography,
Schr\selectlanguage{ngerman}ödinger inspired docking algorithms, and other Lorentzian signatures
driven Information-theoretic tasks to merge the pharmacophoric elements
from different chemical and physical databases into the RoccuffirnaTM
innovative structure to for m a rigid chemical scaffold with
anti-COVID-19 properties \textbf{(} 1, 4-22, 23-43, 44\textbf{).}

\textbf{METHODS AND MATERIALS}

\textbf{Detailed methods are provided in the online version of this
paper and include the following:}

\textbf{RESOURCE AVAILABILITY}

\textbf{Lead contact}

\textbf{Data and code availability}

\textbf{EXPERIMENTAL MODEL AND SUBJECT DETAILS}

\textbf{Public Datasets, SARS-COV-2 motif peptide consensus strategy.}

\textbf{Screening library and COVID2019 targets.}

\textbf{METHOD DETAILS}

\begin{itemize}
\tightlist
\item
  \textbf{Pharmacophoric-ODEs fragmentating,merging and recoring of the
  selected Hit compounds: Biogenetoligandorol AI-microBlackHole
  heuristic algorithm.}
\item
  \textbf{Roccuffirna free pharmacophoric system}
\item
  \textbf{Geometric symmetries from a quantum reference multi-merged
  pharmacophoric frame.}
\end{itemize}

\textbf{RESULTS}

In this computational drug design project we provided an extensive
combination of toolboxes by applying black-hole solution to Einstein's
Eqs for perfor ming quantum communication, neural matrix factorizations,
cryptography, Schrödinger inspired docking algorithms, and other
Information-theoretic tasks in MathCast programming language, and
compared these algorithms by means of mean percentile free energy
ranking, in a new recall-based evaluation metric for the Insilco design
of a Novel Series of RoccuffirnaTMQMMMCoRoNNARRFr anti-\textbf{(}
nCoV-19\textbf{)} annotated ligands. \textbf{(} Figure S1a\textbf{)} .
3D Docking interactions of the selected NuBEE physical elements inside
the PDB:6XS6, SARS-CoV-2 Spike D614G variant were combined to various
general docking results including heuristic horizon topologies, into
near-horizon pharmacophoric fragmentations as applied to Euclidean
symmetries ranging from applied supergravity theories to a system of
intrinsically positioned cables.\textbf{(} 35, 36, 37, 38, 39\textbf{)
(} Table S1\textbf{).} Docking energy rankings of the physical hit
compoundsof Wyerone, bis-\textbf{(} 5-for mylfurfuryl\textbf{)} ether,
Monocrotaline, and Zeatin\textbf{(} Figure S1f\textbf{),} Methoxsalen,
behenic acid, Bergapten, L-gamma -Glutamyl-S-allylthio-L-cysteine, Oleic
Acid, Sursane, Hesperetin, Adenosine, and Eriodictyol \textbf{(} Figure
S1g\textbf{),}Baicalein-7-methyl ether, Euglobal III, and the Linoleic
Acid residues\textbf{(} Figure S1h\textbf{),} Atrazine, Genistein,
Pregnenolone ligands \textbf{(} Figure S1i\textbf{)} when docked onto
the SARS-COV-2 protein targets were applied and kinematically
sTabstriangular bars generated when filtered befor e evaluation as
extracted from the selected physical chemical databases. Structurally
valid symmetricformations were then connected into smaller molecule
components, holes, \textbf{(} 40, 41, 42, 43, 44\textbf{)} and
voidsjointed at their endsby hinged connections into
Roccuffirna'schemical structure to trap computationally the SARS-COV-2
viruses in practice.

\textbf{DISCUSSIONS}

In this work we introduced an operationalfor malismand a relational
reference frame theory that predicts a fundamental decoherence
mechanism, by combining black-hole cryptography solutions to Einstein's
Eqsfor perfor ming quantum communication, neural matrix factorizations,
and putative ligand-receptor visualizations to apply quantum mechanics
from the point of view of a reference frame translated to a quantum
pharmacophoric system of \textbf{((} 2S, 5R, 6R\textbf{)} \selectlanguage{english}-6\selectlanguage{english}-\textbf{((}
2S\textbf{)} \selectlanguage{english}-2\selectlanguage{english}-amino\selectlanguage{english}-2\selectlanguage{english}- phenylacetamido\textbf{)} \selectlanguage{english}-3, 3\selectlanguage{english}-
dimethyl\selectlanguage{english}-7\selectlanguage{english}-oxo\selectlanguage{english}- 4\selectlanguage{english}-thia\selectlanguage{english}-1\selectlanguage{english}- azabicyclo \textbf{(} 3. 2.
0\textbf{)}heptane\selectlanguage{english}-2\selectlanguage{english}-carbonyloxy\textbf{), (} \{ \textbf{((} 2\selectlanguage{english}-amino\selectlanguage{english}-6\selectlanguage{english}-
oxo\selectlanguage{english}- 6, 9\selectlanguage{english}-dihydro\selectlanguage{english}-3H\selectlanguage{english}-purin\selectlanguage{english}-9\selectlanguage{english}-yl\textbf{)} oxy\textbf{) (}
hydroxy\textbf{)}phosphoryl\} oxy\textbf{)} phosphinic acid\selectlanguage{english}--chemical
bridge, which we call quantum reference frame. \textbf{(} 31-42,
43\textbf{)} This reference frame has an arrow of time emerges from a
time-symmetric theory on virtual compound libraries and its own degrees
of freedom, which can be in quantum superposition or entangled and
evolve in time according to their own Hamiltonian with respect to the
docking frame of reference. Moreover, our model adopts a relational
view, according to which any reference frame is described as a quantum
degree of freedom relatively to another reference frame, collapse of the
wave packet and circumvents the problem of generalizing chemical
characters to a quantum pharmacophoric system as the probability
interpretation which was only ever applied to diagonal density
operators. Hence, theframe of reference in this research paper by
combining black-hole cryptography solutions to Einstein's Eqsfor perfor
ming quantum cryptographic communications is a quantum system relative
to the quantum reference frame of a pharmacophoric system of \textbf{((}
2S, 5R, 6R\textbf{)} \selectlanguage{english}- 6\selectlanguage{english}-\textbf{((} 2S\textbf{)} \selectlanguage{english}-2\selectlanguage{english}-amino\selectlanguage{english}-2\selectlanguage{english}-
phenylacetamido\textbf{)} \selectlanguage{english}-3, 3\selectlanguage{english}- dimethyl\selectlanguage{english}-7\selectlanguage{english}-oxo\selectlanguage{english}- 4\selectlanguage{english}-thia\selectlanguage{english}-1\selectlanguage{english}- azabicyclo
\textbf{(} 3. 2. 0\textbf{)}heptane\selectlanguage{english}-2\selectlanguage{english}- carbonyloxy\textbf{), (} \{
\textbf{((} 2\selectlanguage{english}-amino\selectlanguage{english}-6\selectlanguage{english}-oxo\selectlanguage{english}- 6, 9\selectlanguage{english}-dihydro\selectlanguage{english}-3H\selectlanguage{english}-purin\selectlanguage{english}-9\selectlanguage{english}-yl\textbf{)}
oxy\textbf{) (} hydroxy\textbf{)}phosphoryl\} oxy\textbf{)} phosphinic
acid, much like the pharmacophoric system of \textbf{((} 2S, 5R,
6R\textbf{)} \selectlanguage{english}-6\selectlanguage{english}- \textbf{((} 2S\textbf{)}\selectlanguage{english}-2\selectlanguage{english}-amino\selectlanguage{english}-2\selectlanguage{english}-
phenylacetamido\textbf{)} \selectlanguage{english}-3, 3\selectlanguage{english}- dimethyl\selectlanguage{english}-7\selectlanguage{english}-oxo\selectlanguage{english}- 4\selectlanguage{english}-thia\selectlanguage{english}-1\selectlanguage{english}- azabicyclo
\textbf{(} 3. 2. 0\textbf{)} heptane\selectlanguage{english}- 2\selectlanguage{english}-carbonyloxy\textbf{), (} \{
\textbf{((} 2\selectlanguage{english}-amino\selectlanguage{english}-6\selectlanguage{english}-oxo\selectlanguage{english}- 6,
9\selectlanguage{english}-dihydro\selectlanguage{english}-3H\selectlanguage{english}-purin\selectlanguage{english}-9\selectlanguage{english}-yl\textbf{)}oxy\textbf{) (} hydroxy\textbf{)}
phosphoryl\} oxy\textbf{)} phosphinic acid that interprets a quantum
system relative to the laboratory frame. This allows us to avoid
assuming the existence of an external perspective of an absolute
reference frame and choose a generalized parity-swap operator which acts
as a piece of information that enables the sender of a message to
encrypt the message and the receiver of a message to decrypt the message
\textbf{(} Hoffstein, Pipher, \& Silverman, 2008\textbf{)} in such a way
that the solutions of the Eqs of motion of pharmacophoric system C from
the point of view of A are of opposite sign to those of the Eqs of
motion of pharmacophoric system of\textbf{((} 2S, 5R, 6R\textbf{)} \selectlanguage{english}- 6\selectlanguage{english}-
\textbf{((} 2S\textbf{)} \selectlanguage{english}-2\selectlanguage{english}-amino\selectlanguage{english}-2\selectlanguage{english}- phenylacetamido\textbf{)} \selectlanguage{english}- 3,
3\selectlanguage{english}-dimethyl\selectlanguage{english}-7\selectlanguage{english}-oxo\selectlanguage{english}- 4\selectlanguage{english}-thia\selectlanguage{english}-1\selectlanguage{english}- azabicyclo\textbf{(} 3. 2. 0\textbf{)}
heptane\selectlanguage{english}-2\selectlanguage{english}- carbonyloxy\textbf{), (} \{\textbf{((} 2\selectlanguage{english}-amino\selectlanguage{english}-6\selectlanguage{english}- oxo\selectlanguage{english}-6,
9\selectlanguage{english}-dihydro\selectlanguage{english}- 3H\selectlanguage{english}-puri n\selectlanguage{english}-9\selectlanguage{english}-yl\textbf{)}oxy\textbf{) (} hydroxy\textbf{)}
phosphoryl\} oxy\textbf{)} phosphinic acid from the point of view of C.
Considering that quantum cryptographical techniques will continue to
advance drug discovery approaches to obtain the relational degrees of
freedom from the very start physical degrees of freedom to be relational
from the point of view of a chosen QRF. These Schrodinger inspired
docking algorithms when combining with black-hole solution to Einstein's
Eqs as seen from a QRF and other chemistry-theoretic tasks of the
reference-frame transformation for finding topological descriptors,
eigenvectors, and eigenvalues with advanced machine learning algorithms,
such as the data mining to merge pharmacophoric elements used could be
appropriate to design multi-targeted ligandsfor other diseases as
well.\textbf{(METHODS AND MATERIALS) (Scheme of Eqs.}
1-210),\textbf{(METHODS AND MATERIALS) (Cluster of Eqs.} 1-104)

\textbf{Limitations of the study}

Limitations still existed in the current study since Quantum computers
are exceedingly difficult to engineer, build and program. QC could make
current CADD tools more effective by helping to predict molecular
properties with high accuracy. That can affect the development process
in several ways, such as modeling how SARS-COV-2 proteins fold and how
anti-viral drug candidates interact with biologically relevant proteins.
I still believe that quantum computing is likely to transform only the
very early stages of pharmaceutical R\&D over the coming decades but
that it will provide near-term benefits as the technology matures.

\textbf{ACKNOWLEDGMENTS}

I would like to express my special thanks of gratitude to my
teacher\textbf{(} George I Grigoriadis Pharmacist\textbf{)} who gave me
the golden opportunity to do this wonderful project on the Quantum
Chemistry topic, which also helped me in doing a lot of Research and I
came to know about so many new things I am thankful to them.

\textbf{AUTHOR CONTRIBUTIONS}

Grigoriadis Ioannis's diverse contributions to the published work are
accurate and agreed. Grigoriadis Ioannis has contributed to the below
multiple roles:

\begin{itemize}
\tightlist
\item
  Conceptualization Ideas, formulation or evolution of overarching
  research goals and aims.
\item
  Methodology, Development, or design of methodology; creation of
  models.
\item
  Writing - Review \& Editing, Preparation, creation and presentation of
  the published work by those from the original research group,
  specifically critical review, commentary, or revision including pre-or
  post-publication stages.
\item
  Visualization, Preparation, creation, and presentation of the
  published work, specifically visualization/data presentation.
\item
  Supervision, Oversight and leadership responsibility for the research
  activity planning and execution, including mentorship external to the
  core team.
\item
  Project administration, Management, and coordination responsibility
  for the research activity planning, and execution.
\end{itemize}

\textbf{DECLARATION OF INTERESTS}

No potential competing interest was reported by the author.

\textbf{REFERENCES}

1. Hui DS. Epidemic and Emerging Coronaviruses (Severe Acute Respiratory
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