STUDYING MINIMAL CHROMATIN MODELS TO UNDERSTAND GENOME ORGANIZATION

The project investigates an innovative computational approach to understanding the three-dimensional organization of the human genome, exploring the energy surface theory and the MiChroM model. Based on the principle of maximum entropy, this model has the potential to simulate interactions between entire chromosomes, with the possibility of reproducing experimental data such as Hi-C and microscopy, as well as performing temporal dynamics of chromatin loci. This research highlights the importance of understanding chromatin organization within the cell nucleus to elucidate genetic functions and genome transmission processes. The Hi-C technique is fundamental for characterizing the spatial organization of the genome, providing valuable insights for biomedical applications. Combining this technique with computational simulations, such as MiChroM, suggests a promising approach to investigate chromatin dynamics.The project aims to explore the capabilities of this computational model and its potential applications, with the objective of establishing a solid foundation for future studies on the behavior of the human genome and other organisms. The research proposes methods based on energy surface theory to analyze simulated chromosomes, contributing to a deeper understanding of genomic organization. The specific objectives include performing computational simulations, investigating interactions between types of chromatin, and monitoring genomic architecture. This study paves the way for future applications, enabling the improvement of simulations and validation of experimental data, thus strengthening its relevance in the investigation of the three-dimensional genome organization and its implications for human health.