Julho 2025 vol. 11 num. 1 - XV Encontro Científico de Física Aplicada

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Virtual Cells as Modeling Tools for Epigenetics, Ploidy, and Cell Fate under Quantum Principles

Virtual Cells as Modeling Tools for Epigenetics, Ploidy, and Cell Fate under Quantum Principles

Casotti, Matheus Correia ; Altoé, Lorena Souza Castro ; Angelos, Tamires de Almeida ; Barbosa, Karen Ruth Michio ; Campanharo, Camilly Victória ; Giacinti, Giulia Maria ; Guaitolini, Yasmin Moreto ; Lopes, Victor Alves ; Melo, Daniel Moreira ; Muniz, Luana Rodrigues ; Paula, Flavia de ; Silva, Adriana Madeira Álvares da ; Sousa, Marcelo Victor Pires de ; Louro, Iuri Drumond ; Meira, Debora Dummer ;

Artigo:

A variação de ploidia tem se mostrado um mecanismo fundamental de adaptação celular em organismos como fungos e células tumorais humanas, promovendo flexibilidade epigenética e diversidade de destinos celulares. Paralelamente, os avanços em modelagem computacional e inteligência artificial (IA) têm permitido a construção de células virtuais (AI Virtual Cells – AIVCs) capazes de simular comportamentos celulares complexos em contextos tridimensionais e multi-escala. Este trabalho propõe uma revisão integrativa e um modelo conceitual que conectam a variação de ploidia, a instabilidade epigenética e a teoria quântica da mutação adaptativa ao desenvolvimento de AIVCs. A partir da análise de casos biológicos e modelos matemáticos, discutimos como a simulação de flutuações torsionais do DNA e transições epigenéticas pode informar a construção de “gêmeos digitais” celulares capazes de prever destinos celulares sob diferentes pressões seletivas. Defendemos que a próxima geração de AIVCs deverá integrar algoritmos de aprendizado profundo, princípios de mecânica estatística e simulações quânticas para captar a plasticidade genômica e epigenética que emerge de estados de ploidia variável. A proposta amplia o escopo das modelagens existentes, com implicações para biologia do câncer, diferenciação celular, biologia da regeneração e medicina personalizada.

Artigo:

Ploidy variation has emerged as a fundamental mechanism of cellular adaptation in organisms such as fungi and human tumor cells, promoting epigenetic flexibility and diversity of cell fates. In parallel, advances in computational modeling and artificial intelligence (AI) have enabled the development of virtual cells (AI Virtual Cells – AIVCs) capable of simulating complex cellular behaviors in three-dimensional, multi-scale contexts. This work proposes an integrative review and a conceptual model that connect ploidy variation, epigenetic instability, and the quantum theory of adaptive mutation to the development of AIVCs. Based on the analysis of biological case studies and mathematical models, we discuss how the simulation of DNA torsional fluctuations and epigenetic transitions can inform the construction of cellular "digital twins" capable of predicting cell fate under different selective pressures. We argue that the next generation of AIVCs should integrate deep learning algorithms, principles of statistical mechanics, and quantum simulations to capture the genomic and epigenetic plasticity emerging from variable ploidy states. This proposal broadens the scope of existing models, with implications for cancer biology, cell differentiation, regenerative biology, and personalized medicine.

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Palavras-chave: células virtuais, epigenética, quântica, modelagem, destino celular,

Palavras-chave: virtual cells, epigenetics, quantum, modeling, cell fate.,

DOI: 10.5151/xvecfa-2025005

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Como citar:

Casotti, Matheus Correia; Altoé, Lorena Souza Castro; Angelos, Tamires de Almeida; Barbosa, Karen Ruth Michio; Campanharo, Camilly Victória; Giacinti, Giulia Maria; Guaitolini, Yasmin Moreto; Lopes, Victor Alves; Melo, Daniel Moreira; Muniz, Luana Rodrigues; Paula, Flavia de; Silva, Adriana Madeira Álvares da; Sousa, Marcelo Victor Pires de; Louro, Iuri Drumond; Meira, Debora Dummer; "Virtual Cells as Modeling Tools for Epigenetics, Ploidy, and Cell Fate under Quantum Principles", p. 21-27 . In: Anais do XV Encontro Científico de Física Aplicada. São Paulo: Blucher, 2025.
ISSN 2358-2359, DOI 10.5151/xvecfa-2025005

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