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).