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Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design
The CRISPR/Cas9 system offers a new approach to genome editing and cancer treatment. This approach is able to detect drug targets and genomic analysis of cancer. The use of artificial intelligence (AI) capacity to edit genomes through CRISPR/Cas9 enables modification of gene mutations, molecular sim...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703516/ https://www.ncbi.nlm.nih.gov/pubmed/36452267 http://dx.doi.org/10.1177/11769351221140102 |
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author | Maserat, Elham |
author_facet | Maserat, Elham |
author_sort | Maserat, Elham |
collection | PubMed |
description | The CRISPR/Cas9 system offers a new approach to genome editing and cancer treatment. This approach is able to detect drug targets and genomic analysis of cancer. The use of artificial intelligence (AI) capacity to edit genomes through CRISPR/Cas9 enables modification of gene mutations, molecular simulation. AI approaches include knowledge discovery approaches, antigen and epitope prediction approaches, and agent based-model approaches. These methods in combination with CRISPR/Cas9 can be used in vaccine design. |
format | Online Article Text |
id | pubmed-9703516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-97035162022-11-29 Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design Maserat, Elham Cancer Inform Editorial The CRISPR/Cas9 system offers a new approach to genome editing and cancer treatment. This approach is able to detect drug targets and genomic analysis of cancer. The use of artificial intelligence (AI) capacity to edit genomes through CRISPR/Cas9 enables modification of gene mutations, molecular simulation. AI approaches include knowledge discovery approaches, antigen and epitope prediction approaches, and agent based-model approaches. These methods in combination with CRISPR/Cas9 can be used in vaccine design. SAGE Publications 2022-11-26 /pmc/articles/PMC9703516/ /pubmed/36452267 http://dx.doi.org/10.1177/11769351221140102 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Editorial Maserat, Elham Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design |
title | Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design |
title_full | Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design |
title_fullStr | Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design |
title_full_unstemmed | Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design |
title_short | Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design |
title_sort | integration of artificial intelligence and crispr/cas9 system for vaccine design |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703516/ https://www.ncbi.nlm.nih.gov/pubmed/36452267 http://dx.doi.org/10.1177/11769351221140102 |
work_keys_str_mv | AT maseratelham integrationofartificialintelligenceandcrisprcas9systemforvaccinedesign |