SARS-CoV-2 spike and ACE2 entanglement-like binding
Quantum Machine Intelligence, ISSN: 2524-4914, Vol: 5, Issue: 1, Page: 8
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
We describe the binding between the glycoprotein Spike of SARS-CoV-2 and the human host cell receptor ACE2 as a quantum circuit, comprising the one-qubit Hadamard quantum logic gate performing the quantum superposition of the S subunit of the Spike protein, and the two-qubit quantum logic gate CNOT, which performs maximum entanglement between the Spike-qubit S and the ACE2 receptor protein. Also, we consider two strategies to prevent the binding process between the Spike-qubit S and the ACE2 receptor. The first one is the use of competitive peptidomimetic inhibitors that can selectively bind to the receptor binding domain (RBD) of the Spike glycoprotein with much higher affinity than the cell surface receptor itself. These inhibitors are targeted to the CNOT quantum logic gate and will get maximally entangled with the S qubit in place of the natural ACE2 receptor. The second one is to use covalent inhibitors, which will destroy S by acting as a projective quantum measurement. Finally, the conjecture that S is a quantum bio-robot is formulated.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85146917193&origin=inward; http://dx.doi.org/10.1007/s42484-023-00098-0; http://www.ncbi.nlm.nih.gov/pubmed/36743386; https://link.springer.com/10.1007/s42484-023-00098-0; https://dx.doi.org/10.1007/s42484-023-00098-0; https://link.springer.com/article/10.1007/s42484-023-00098-0
Springer Science and Business Media LLC
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