Standigm, a company using artificial intelligence (AI) technology for drug discovery and development, today announced that it had been cited in the 2022 Gartner Emerging Tech: Venture Capital Growth Insights for Generative AI research.
According to Gartner, “2021 saw a huge jump of 180% to $840 million in the total investment in AI-assisted drug discovery, from $299 million in 2020.” About half that capital was invested in AI-assisted drug discovery startups. Standigm ranked seventh of 10 Generative AI-based startups based on its level of VC funding.
What generative AI is, and how it’s used in drug discovery
Generative AI uses generative adversarial networks (GANs) to generate data. Once trained on labeled data, such as cars and buses, it can use its learnings to produce data about other transportation mechanisms it has never seen. In their report, Gartner predicted, “By 2025, 30% of marketing content will be generated by AI, from less than 2% in 2022.”
In the drug discovery context, Generative AI efficiently designs drugs by learning the relationship between the correct answer and the candidate’s material structure. It then creates new structures that have never existed before and partially known but improved structures. It also identifies areas yet to be evaluated as drugs or structures that have proven less reliable.
How Standigm’s BEST platform makes drug discovery efficient
The BEST platform uses a proprietary scaffold replacement technology that provides the most significant advantages for molecular novelty, patentability, and backup plans. As it provides various generative models with different levels of structural modification from atoms to scaffolds, it can support all the steps of drug discovery where molecular changes should be made; hit identification, hit-to-lead, and lead optimization. Combining it with advanced activity/drug property prediction models and synthetic AI models enables obtaining many lead series molecules, which elevates the productivity of early drug discovery projects.
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