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MARTIN COLLADO BELÉN.pdf (466.67 KB)

Document type

Bachelor thesis

Publication date

2024-01

Publication license

cc-by-nc-nd (c) Martín, 2024
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/215384

Statistical mechanics for gene transcription

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Abstract

We study the behavior of a DNA regulatory sequence using statistical mechanics and computational simulations, focusing on the simple repression model. We applied the Kawasaki algorithm, a Monte Carlo method, to simulate the system dynamics. Our results make use of theoretical models that have been elsewhere supported by experimental data and align with these. Not only our findings enhance understanding of gene expression by validating the existing predictive models, but also introduce an interaction energy between neighboring repressors. This represents a novelty in biophysics that demands alternative models, such as the one-dimensional Ising model.

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2024, Tutora: Marta Ibañes Miguez

Subject

Mecànica estadística, Transcripció genètica, Treballs de fi de grau

Subject (English)

Statistical mechanics, Genetic transcription, Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

Citation

MARTÍN COLLADO, Belén. Statistical mechanics for gene transcription. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/215384

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