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Artificial Intelligence and Computational Biology in Gene Therapy: A Review

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Abstract

One of the trending fields in almost all areas of science and technology is artificial intelligence. Computational biology and artificial intelligence can help gene therapy in many steps including: gene identification, gene editing, vector design, development of new macromolecules and modeling of gene delivery. There are various tools used by computational biology and artificial intelligence in this field, such as genomics, transcriptomic and proteomics data analysis, machine learning algorithms and molecular interaction studies. These tools can introduce new gene targets, novel vectors, optimized experiment conditions, predict the outcomes and suggest the best solutions to avoid undesired immune responses following gene therapy treatment.

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  1. Molecular Biology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Science, P.O. Box 19395-5487, Tehran, Iran

    Mohsen Danaeifar & Ali Najafi

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  1. Mohsen Danaeifar
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Conceptualization, literature review, resources, acquisition, writing, editing and drawing the pic carried out by M.D. Conceptualization, supervision, methodology, revision and final editing performed by A.N.

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Correspondence to Ali Najafi.

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Danaeifar, M., Najafi, A. Artificial Intelligence and Computational Biology in Gene Therapy: A Review. Biochem Genet (2024). https://doi.org/10.1007/s10528-024-10799-1

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