Abstract

In the existing formalism of quantum states, probability amplitudes of quantum states are complex numbers. A composition of entangled quantum states, such as a Bell state, cannot be decomposed into its constituent quantum states, implying that quantum states lose their identities when they get entangled. This is contrary to the observation that a composition of entangled quantum states decays back to its constituent quantum states. To eliminate this discrepancy, this paper introduces a new type of numbers, called virtual numbers, which produce zero upon multiplication with complex numbers. In the proposed formalism of quantum states, probability amplitudes of quantum states are general numbers made of complex and virtual numbers. A composition of entangled quantum states, such as a Bell state, can then be decomposed into its constituent quantum states, implying that quantum states retain their identities when they get entangled. Considerable success has been achieved in the treatment of HIV-1 infection, and more than two dozen antiretroviral drugs are available targeting several distinct steps in the viral replication cycle. However, resistance to these compounds emerges readily, even in the context of combination therapy. Drug toxicity, adverse drug-drug interactions, and accompanying poor patient adherence can also lead to treatment failure. These considerations make continued development of novel poly-targeted antiretroviral therapeutics necessary. A number of rationall computer aided drug discovery steps in the HIV-1 replication cycle that represent promising targets for drug discovery have been previously highlighted. In this research article we for the first time presented a Virtual Numbers to Represent Entangled Quantum States cursory analysis to identify several global patterns for anti-HIV-1 cell cycle viral replication enzymes for the efficient discovery of homomultimerized HIV short linear motif-like peptide mimicking lead compound on its functional binding sites.

Keywords

Quantum Mechanics; Probability Amplitude; Complex Number; Entanglement; Bell State1; Pocket-Based filtering, Drug Design Methodology, hyper drug-target interactions
restricted; Boltzmann machines, Discovery; in silico computer aided, free energy potency optimization, poly-target antagonists, HIV-II viral replication protease cycle associated enzymes