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Publicação
Genetic Algorithm-Driven Protein Engineering: Enhancing PT8 Poly morphic Toxins for Biotechnology
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Orientador(es)
Resumo(s)
"Polymorphic toxins, such as PT8 from the Leptospiraceae family, play a significant role in mi crobial competition and have potential applications in biotechnology. However, their toxicity
often limits their utility in practical applications. This thesis presents a novel approach to opti mizing the PT8 polymorphic toxin for biotechnological use through the use of genetic algo rithms (GAs) and machine learning models to reduce its inherent toxicity while maintaining
functional integrity.
In this study, we first analyzed the structure and dynamics of PT8 using state-of-the-art protein
structure prediction tools like AlphaFold, RosettaFold, and ESMFold, coupled with molecular
dynamics simulations. These analyses revealed several key regions within PT8 that contribute
to its stability and function but also underlie its toxicity(...)"
Descrição
Palavras-chave
PT8 biotechnology genetic algorithms Polymorphic toxins microbial competition,
Contexto Educativo
Citação
Editora
Universidade NOVA de Lisboa. Instituto de Tecnologia Química e Biológica António Xavier.