Technology in the service of health; And it is that Google launches AI solutions for drug research. The folks at Mountain View announced that they’re adding two new tools to their portfolio through Google Cloud to accelerate accurate medical searches.
Its objective is that companies in biotechnology, pharmaceutical and public sector organizations can take full advantage of it. It is a target and lead identification suite that allows, among other things, to accurately identify the function of amino acids and predict the structure of proteins.
Whereas the Multiomics suite is responsible for boosting the discovery and interpretation of genomic data, which translates into the development of specific therapies with greater precision according to each clinical case.
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Companies are already using Google AI in the pharmaceutical sector
Cereval, Colossal Biosciences and Pfizer Laboratories; Currently there are users of these Google Cloud AI tools. They have incorporated high-performance computing into the analysis of pharmacological and genomic data so that artificial intelligence can predict three-dimensional models of proteins in less time.
Google states that the purpose of these tools is to accelerate drug discovery, bringing to market much faster, treatments and therapies that can save lives. that care patients with diseases, such as cancer, or those with migraine attacks, can achieve a better quality of life, or definitive treatment of their condition.
According to the British Journal of Pharmacology, developing a drug, from idea concept to launch, can currently take 12 to 15 years, in addition to an investment of a million dollars.
The truth is that we are in the era of AI tools and this is one step that can be significantly reduced in time and investment using Google’s new artificial intelligence tools.
Features of Google’s new AI tool for drug development
Google’s new AI tools for drug development have different functions that allow the research process to be completed successfully:
- Data Ingest: This step allows laboratories to securely accelerate the ingestion, exchange, and management of data to successfully complete the first phase of research in less time and space.
- Target identification: The second functionality aims to utilize the AlphaFold 2 and Vertex AI pipelines, which allows laboratories to accurately predict the structure of proteins, reducing failures from traditional methods, speeding up test time reduces and wastes resources.
- Lead identification: This functionality ensures that companies can identify lead candidates and perform high-throughput virtual screening to determine which are lead candidate molecules to drive research.
Finally, in these new cloud AI tools, a secure data storage infrastructure has been implemented in Google Cloud, including layers of security, privacy controls, and optimized processes, for the privacy and security that are fundamental to the development process of these pharmacological products. Are. to each customer.
