AI4BIO

www.ai4.bio

AI4.BIO is created to improve the quality of life and health. - What's on now? RNA is a unique biomolecule. It can both store genetic information and perform biological functions in a variety of molecular processes. While ∼85% of the human genome is transcribed into RNA, only ∼3% of those transcripts code for protein, indicating that the vast majority of RNAs are noncoding. What is more, a large number of newly discovered noncoding RNAs are disease-associated. RNAs are also known to be targets of small molecule drugs or drug candidates. To enable their function, RNAs adopt specific three-dimensional conformations. Therefore, determining and modelling the RNA structure is key to understanding biological processes, disease mechanisms, and RNA therapies. Although experimental techniques allow for the determination of RNA structures, they are tiresome, time-consuming, costly, require specialized equipment, and not always possible. Computational methods for RNA structure prediction do not have these drawbacks, but existing methods fall far short of atomic accuracy, preventing these methods' application. We are currently working on a deep learning solution that can quickly predict RNA structures with atomic accuracy, allowing for applying our method in pharmacy. - Next? Stay tuned... Cheers! AI4.BIO Team

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AI4.BIO is created to improve the quality of life and health. - What's on now? RNA is a unique biomolecule. It can both store genetic information and perform biological functions in a variety of molecular processes. While ∼85% of the human genome is transcribed into RNA, only ∼3% of those transcripts code for protein, indicating that the vast majority of RNAs are noncoding. What is more, a large number of newly discovered noncoding RNAs are disease-associated. RNAs are also known to be targets of small molecule drugs or drug candidates. To enable their function, RNAs adopt specific three-dimensional conformations. Therefore, determining and modelling the RNA structure is key to understanding biological processes, disease mechanisms, and RNA therapies. Although experimental techniques allow for the determination of RNA structures, they are tiresome, time-consuming, costly, require specialized equipment, and not always possible. Computational methods for RNA structure prediction do not have these drawbacks, but existing methods fall far short of atomic accuracy, preventing these methods' application. We are currently working on a deep learning solution that can quickly predict RNA structures with atomic accuracy, allowing for applying our method in pharmacy. - Next? Stay tuned... Cheers! AI4.BIO Team

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City (Headquarters)

Poznań

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Employees

1-10

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Founded

2021

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  • Founder and Chief Technology Officer

    Email ****** @****.com
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