Artificial Intelligence applied to Biotechnology

We are living the last technological revolution with artificial intelligence (AI), whose basis and techniques have precisely now deserved Nobel Prizes in Physics and Chemistry.This computing technology mimic aspects of human intelligence such as solving complex problems, communicating with humans, and learning from data and experience.Generative AI is entering quickly in our lives, and AI is already used in many economic sectors, and especially in research and its applications, as in Biotechnology.The revolution of biotechnological advances in genomic sequencing, together with those of protein structures, has given rise to an exponential growth of data, which requires automatic tools such as AI.Here the main applications of AI to biotechnology are reviewed, being the biomedical and pharmaceutical the most common.It is worth noting for instance the diagnosis of diseases as cancer, or the prediction of Alzheimer's.There is also the relevant Alphafold software, a deep learning system which can predict protein structures, their folding, and interactions proteindrugs.IA applications to other biotechnology fields are also reviewed, such as plant biotechnology -for instance selecting suitable genes for transgenic proteins-, or environmental biotechnologyfor optimization of removal of pollutants-, or for genome editing.

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Publication Details

Journal
Bionatura
Published
2024-12-15
DOI
https://doi.org/10.70373/rb/2024.09.04.1
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
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Artificial Intelligence applied to Biotechnology

Albert Bordons
Bionatura
Genetics, Bioinformatics, and Biomedical Research
article

Artificial Intelligence applied to Biotechnology

Albert Bordons
article en

Abstract

We are living the last technological revolution with artificial intelligence (AI), whose basis and techniques have precisely now deserved Nobel Prizes in Physics and Chemistry.This computing technology mimic aspects of human intelligence such as solving complex problems, communicating with humans, and learning from data and experience.Generative AI is entering quickly in our lives, and AI is already used in many economic sectors, and especially in research and its applications, as in Biotechnology.The revolution of biotechnological advances in genomic sequencing, together with those of protein structures, has given rise to an exponential growth of data, which requires automatic tools such as AI.Here the main applications of AI to biotechnology are reviewed, being the biomedical and pharmaceutical the most common.It is worth noting for instance the diagnosis of diseases as cancer, or the prediction of Alzheimer's.There is also the relevant Alphafold software, a deep learning system which can predict protein structures, their folding, and interactions proteindrugs.IA applications to other biotechnology fields are also reviewed, such as plant biotechnology -for instance selecting suitable genes for transgenic proteins-, or environmental biotechnologyfor optimization of removal of pollutants-, or for genome editing.

Bionatura
Universitat Rovira i Virgili (ES)
Openalex Percentile: Top 77%
Genetics, Bioinformatics, and Biomedical Research
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Artificial Intelligence applied to Biotechnology — Albert Bordons · Bionatura (2024) | TGRS Research Map | TGRS