Evidence map›Paper›PMID 40574961›Full record

ArticleComputational and structural biotechnology journal2025

Non-Markovian Quantum State Diffusion for the tunnelling in SARS-COVID-19 virus.

Muhammad Waqas Haseeb, Mohamad Toutounji

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Muhammad Waqas HaseebDepartment of Physics, United Arab Emirates University, Al-Ain, United Arab Emirates.
Mohamad ToutounjiDepartment of Chemistry, United Arab Emirates University, Al-Ain, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of biology, unlike the well-established Standard Model in physics, many biological processes lack a complete theoretical framework and are often described phenomenologically. A pertinent example is olfaction, the process through which humans and animals distinguish various odors. The conventional biological explanation for olfaction relies on the lock and key model, which, while useful, does not fully account for all observed phenomena. As an alternative or complement to this model, vibration-assisted electron tunnelling has been proposed. Drawing inspiration from the vibration-assisted electron tunnelling model for olfaction, we have developed a theoretical model for electron tunnelling in SARS-CoV-2 virus infection within a non-Markovian framework. We approach this by solving the non-Markovian quantum stochastic Schrödinger equation. In our model, the spike protein and the GPCR receptor are conceptualized as a dimer, utilizing the spin-Boson model to facilitate the description of electron tunnelling. Our analysis shows that electron tunnelling persists even at intermediate and strong coupling limits between the dimer components, presenting a stark contrast to the predictions from Markovian regime models. Notably, Markovian models often yield unphysical negative probabilities, particularly in the strong coupling limit, underscoring significant discrepancies and highlighting the importance of considering non-Markovian dynamics in accurately modeling such quantum processes. This approach enhances our understanding of viral infection mechanisms while also offering deeper insights into the quantum biological process of olfaction.

Indexed as

Biological complexesCovid-19 infectionNon-MarkovianQuantum biologyQuantum physicsStochastic Schrodinger equation

Identifiers

PMID40574961
PMCPMC12197999

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.