Characterizing the Logic of Transcriptional Control at the DNA Level | AIJ 2025 (12+) | English

Описание: Characterizing the Regulatory Logic of Transcriptional Control at the DNA Sequence Level by Ensembles of Thermodynamic Models

Speaker — Alexandre Ferreira Ramos, University of São Paulo

The session explored the regulation of genetic information and its impact on living organism development. The speaker explained how biological systems can be represented as computational machines, where DNA and RNA serve as information carriers while enzymes function as reading and writing devices. Particular focus was given to the regulatory logic of transcriptional control that determines which genes become activated based on environmental conditions.

Discussion centered on how regulatory mechanisms can help understand cellular adaptation to environmental changes. Questions were also raised regarding how evolution and adaptation affect genetic system efficiency, and how these processes could be modeled using statistical methods.

Various approaches to modeling regulatory processes were proposed during the discussion, including using neural networks and model ensembles for genetic information analysis. The speaker explained how such models could help comprehend cellular learning and adaptation processes, as well as their potential for predicting gene expression under different conditions.

The conversation covered potential applications of these models in biology and medicine, along with risks associated with genetic information interpretation. It was noted that understanding regulatory mechanisms could lead to developing new treatment and diagnostic methods. However, challenges were also identified, including the need for further model refinement and study, plus ethical considerations in using genetic information.

Ultimately, it was observed that integrating biological and computational approaches could significantly enhance our understanding of genetic processes and promote new technology development in biology and medicine. Emphasis was placed on the necessity of continuing research and fostering interdisciplinary collaboration among biologists, mathematicians, and artificial intelligence specialists to achieve these goals.

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