Autor: |
Faraji, Elham, Kurian, Philip, Franzosi, Roberto, Mancini, Stefano, Cosic, Irena, Cosic, Drasko, Pettini, Giulio, Pettini, Marco |
Přispěvatelé: |
School of Science and Technology, University of Camerino, I-62032 Camerino, Italy, Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Quantum Biology Laboratory, Howard University, Washington, DC 20060, USA, Università degli Studi di Siena = University of Siena (UNISI), AMALNA Consulting, Black Rock 3193, VIC, Australia, Università degli Studi di Firenze = University of Florence (UniFI), CPT - E7 Systèmes dynamiques : théories et applications, Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Popis: |
In the present paper we address a model of DNA-protein selective interaction. The biochemical model is chosen on the basis of existing literature, both theoretical and experimental. This consists of a restriction enzyme, EcoRI, binding selectively to a 6 base-pair subsequence of an oligonucleotide to cleave it. A signature of the specific partnership of the two molecules is first obtained by applying the so-called Resonant Recognition Model. Then the same system is investigated by means of a model inspired to the standard Davydov and Holstein-Fröhlich models describing the electron motion along a biomolecule. Starting with a model Hamiltonian written in second quantization, the Time Dependent Variational Principle is used to work out the dynamical equations of the system. The time-Fourier spectra of the electron currents numerically computed for the DNA fragment and for the EcoRI enzyme, respectively, are multiplied to get a crossspectrum which displays a sharp peak of co-resonance. The remarkable result is the replacement of this sharp peak with a broad and noisy frequency pattern when the recognition sequence GAATTC on the DNA is randomized. This sequence-dependent charge transfer phenomenology is suggestive of a potentially rich variety of selective electrodynamic interactions of DNA molecules and transcription factors under the action of electron excitation. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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