INTRODUCTION
The emergence of a novel coronavirus infection causing new Severe acute
respiratory syndrome coronavirus 2 ( SARS-CoV-2),coronavirus ( nCoV-19) has brought tremendous impact on
worldwide health, ( 1, 2, 3, 4, 5) 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 ( 15).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 ( 5). ( 6, 7, 8, 9, 10, 11, 12)The virus has been named severe acute respiratory syndrome–coronavirus
2 ( SARS-CoV-2) ( 3) because the RNA genome is
about 82% identical to that of the SARS coronavirus( SARS-CoV) ; both viruses belong to clade b of the
genus Beta-coronavirus ( 1, 2) 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( Guan et al., 2003) 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.( 1-4, 13, 14, 15, 16) It has been speculated that the
function of the affected open reading frame ( ORF 10)might have played an important role in the trans-species jump
infections. ( 17, 18, 19, 20, 21) A similar virus was
found later in horseshoe bat ( 13-20, 21, 22, 23, 24, and
25). 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 ( 11-17, 18-23, 24, 25, 26, 27). 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 ( Mueller, 2019) demonstrates that
the existing DNA signature paradigm may be exploited via previously
unrecognized for ms of attack ( 5). ( 29, 30)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. ( 29, 30, 31, 32)
( Quantitative) Structure-Activity Relationships(( Q) SARs) 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. ( 30, 31, 32, 33) 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 ( e. g., Galilean transformations). 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( QRFs). 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. ( 32,
33, 34, 35, 36, 37) 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( 38). ( 34, 35, 36, 37, 38, 39, 40) 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 2ℋ=−p2Ω+p2++ ∫ ∫ ∫Z M∫ ∫ ∫ CS ( A)cosθj++‐ ∫ ∫ ∫Z M∫ ∫ ∫ CS ( A) cosθj++ p2−+e4Ω( V−1), to protect quantum states against undesired
noise in terms of quantitative structure-activity relationship( QSAR). ( 38, 39, 40, 41, 42, 43)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.( 31-42, 43) 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.( 30, 31-37) 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 ( Q) SAR requirements as well
as per for mance implications, such as deep neural network( DNN), random for est ( RF), and
gradient boosting decision tree ( GBDT), 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,
Schrödinger 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 ( 1, 4-22, 23-43, 44).