SARS-CoV-2 Quantum Tunneling Simulation Parameters

Parameters used in numerical simulations modeling quantum tunneling in SARS-CoV-2 spike protein-ACE2 receptor interactions. The dataset, created by Muhammad Waqas Haseeb, was last updated in April 2026 and is a small file of 5.5 KB.

Use Cases

• Reproduce simulations of electron transfer efficiency using vibrational frequency parameters.
• Analyze the relationship between intermediate coupling regime parameters and predicted coherence timescales.
• Compare tunneling rates above and below resonance based on decoherence effect parameters.
• Validate models of spike protein-ACE2 interaction dynamics against the provided simulation inputs.

Strengths

• Parameters are derived from a published study employing the non-Markovian quantum state diffusion (NMQSD) method.
• Dataset is openly shared under a CC-BY-4.0 license for reuse.

Limitations

• Dataset is extremely small at 5.5 KB, indicating a limited set of simulation parameters.
• Specific row count, column names, and sample data are unavailable for assessment.

Provenance

Source

Muhammad Waqas Haseeb via figshare.

Collection Method

Parameters generated for numerical simulations in a quantum biology study.

Freshness

Last updated in April 2026.