Blog

We're thrilled to announce Balto, the only tool where you can gather data and model protein binding with a world-class docking algorithm in a AI-guided conversation.

Three chemists go on a hike and discuss how AI factors into drug discovery today and in the near future.

In this post I will describe some of the primary challenges facing R&D teams in biotech companies, and how we at Deep Origin believe we can tackle these problems to make you more productive and successful.

We are announcing the Deep Origin data hub, an expansion of our R&D platform that seamlessly integrates data management, scalable data processing and AI-driven analysis. In the Deep Origin data hub, researchers can design experiments, create protocols, write experimental notes, upload raw data, perform complex analyses, create interactive visualizations, generate publication ready figures, and collaborate all in a single place. Free access to our beta is available to the first 200 users*.

In the biotech domain, extracting AI's benefits is often a challenge, as scattered, unstructured data generated by the research process stands in the way. Here we explore the common ways AI is used in biology, and what process tools you might want to consider to prepare your data for AI models and scientific analysis.