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Generative AI • July 12, 2023

Accelerate Drug Discovery and Development with Generative AI

Unlocking life's mysteries has always intrigued us, and drug discovery is no exception. Artificial intelligence (AI) has the potential to revolutionize this field by unraveling complex puzzles and transforming the way we create life-saving medications. With the increasing need for new therapeutics and the challenges of traditional methods, generative AI offers a powerful solution. It accelerates the identification of drug candidates, improves their properties, and facilitates the design of new molecules with desired traits.

Impact of Generative AI on Drug Discovery

Generative AI is revolutionizing drug discovery by creating innovative compounds with therapeutic potential. Unlike traditional machine learning, generative AI algorithms can generate new molecules based on factors like chemical structure, binding affinity, and toxicity. This approach addresses key challenges in drug discovery and expedites the identification of new candidates. Here are some areas where generative AI excels:

How can we make generative AI secure, trustworthy, and reliable for life sciences enterprises?

Quantiphi’s generative AI solution for life sciences is built on NVIDIA’s BioNeMo LLM, which comes with pre-existing models such as AlphaFold2, ESMFold, and OpenFold that offer resounding capabilities to uncover insightful information from unstructured medical datasets. We combine the promising power of LLM-backed analysis and valuable information stored in enterprises’ proprietary biomedical data to exponentially augment pharma product development and research.

Quantiphi, powered by NVIDIA, brings in ready-trained foundation models for various use cases that can answer proprietary information, support an updated knowledge base with the latest information, provide factual correctness in specific contexts and domains, and ensure bias and toxicity classification to manage outputs.

Here is how Quantiphi can help you to reach your enterprise Generative AI goals :

Generative AI has emerged as a powerful tool in accelerating drug discovery and development. Its ability to analyze vast amounts of data, generate novel molecules, optimize lead compounds, and predict biological properties has revolutionized the pharmaceutical industry. By leveraging the capabilities of machine learning and deep learning algorithms, researchers are empowered to delve into expansive chemical landscapes and unveil previously unseen therapeutic prospects.

Generative AI holds the solutions to all your problems. Not sure how to leverage and integrate it into your workflows? Ask our experts!

Written by

Himanshu Kumar Singh

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