Study on attractors during organism evolution
Abstract The important question that arises during determining the evolution of organisms is whether evolution should be treated as a continuous process or whether groups of organisms fall into 'local' attractors during evolution. A similar question arises during considering the developmen...
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Nature Portfolio
2021
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oai:doaj.org-article:26cf9edecdb14fb589ff5d24c65830592021-12-02T15:38:23ZStudy on attractors during organism evolution10.1038/s41598-021-89001-02045-2322https://doaj.org/article/26cf9edecdb14fb589ff5d24c65830592021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89001-0https://doaj.org/toc/2045-2322Abstract The important question that arises during determining the evolution of organisms is whether evolution should be treated as a continuous process or whether groups of organisms fall into 'local' attractors during evolution. A similar question arises during considering the development of cells after cancer transformation. Answers to these questions can provide a better understanding of how normal and transformed organisms evolve. So far, no satisfactory answers have been found to these questions. To find the answers and demonstrate that organisms during evolution get trapped in 'local' attractors, an artificial neural network supported by a semihomologous approach and unified cell bioenergetics concept have been used in this work. A new universal model of cancer transformation and cancer development has been established and presented to highlight the differences between the development of transformed cells and normal organisms. An unequivocal explanation of cancer initialization and development has not been discovered so far, thus the proposed model should shed new light on the evolution of transformed cells.Andrzej KasperskiRenata KasperskaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Andrzej Kasperski Renata Kasperska Study on attractors during organism evolution |
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Abstract The important question that arises during determining the evolution of organisms is whether evolution should be treated as a continuous process or whether groups of organisms fall into 'local' attractors during evolution. A similar question arises during considering the development of cells after cancer transformation. Answers to these questions can provide a better understanding of how normal and transformed organisms evolve. So far, no satisfactory answers have been found to these questions. To find the answers and demonstrate that organisms during evolution get trapped in 'local' attractors, an artificial neural network supported by a semihomologous approach and unified cell bioenergetics concept have been used in this work. A new universal model of cancer transformation and cancer development has been established and presented to highlight the differences between the development of transformed cells and normal organisms. An unequivocal explanation of cancer initialization and development has not been discovered so far, thus the proposed model should shed new light on the evolution of transformed cells. |
format |
article |
author |
Andrzej Kasperski Renata Kasperska |
author_facet |
Andrzej Kasperski Renata Kasperska |
author_sort |
Andrzej Kasperski |
title |
Study on attractors during organism evolution |
title_short |
Study on attractors during organism evolution |
title_full |
Study on attractors during organism evolution |
title_fullStr |
Study on attractors during organism evolution |
title_full_unstemmed |
Study on attractors during organism evolution |
title_sort |
study on attractors during organism evolution |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/26cf9edecdb14fb589ff5d24c6583059 |
work_keys_str_mv |
AT andrzejkasperski studyonattractorsduringorganismevolution AT renatakasperska studyonattractorsduringorganismevolution |
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1718386160805347328 |