For over 20 years, Origenis GmbH has been working to modernise drug discovery. The company not only has an integrated technology platform for identifying and analysing innovative targets, but also a number of development candidates in challenging indications with high medical need. An interview with CEO & CSO Dr Michael Thormann about small molecules, the separation of technology and clinical development and the search for unexplored chemical spaces.
Dr Thormann, you are one of the founders of Origenis GmbH alongside Michael Almstetter and Dr Andreas Treml. How did the buyout from Morphochem AG come about in 2005 and what was the founding idea for Origenis?
The market environment in 2005 was difficult and Morphochem, despite being very well capitalised, was unable to seize the stock market window. The company then got in a tight financial situation and there was simply not enough money to advance both the technology platform, which we three founders had developed together within Morphochem, and the drug candidates in parallel.
That is why we decided to further develop the technology platform on our own with six colleagues from our drug discovery team. It helped that we already had two collaborations, with Probiodrug (now Vivoryon) in the central nervous system field and with Alcon in ophthalmology. Both companies saw the potential in our technology and said: We will continue to pay you. In other words, on the first day of Origenis, we had money in our account and two contracts. There was a lot of trust on the part of our business partners.
Today, you have an integrated technology platform for identifying and analysing new compounds against innovative targets. How did you get there?
We were facing a problem for which there was virtually no solution. You can create so many different small molecules of which there could be around 1060 different compounds. However, due to resources, we are always dependent on making the right ones. But how do we know which ones these are?
We looked at the chemical starting materials we had in the store and thought about what we could synthesise with them. The next problem was to map this digitally and be able to search in these chemical spaces. A decillion is a really big number, you cannot calculate all the possible substances, no matter how fast your computers are. So, we developed mathematical methods to quickly identify good solutions in these huge spaces, then implement and test them in the lab – and then feed the results back into the computer so that it learns what does not work and makes better suggestions the next time. In other words, we built virtual chemists, biologists, and pharmacologists. This allowed us to design new compounds, pre-optimise them with computers and use laboratory resources very efficiently.
What happened next?
Of course, we also want to patent our substances. But how do we know they don’t already exist? Even though the chemical space is very large in principle, medicinal chemistry and AI standard procedures often come up with very similar solutions, which leads to IP conflicts. Somebody publishes something interesting and then the others say, I am going to try it out, too, then I have less risk but also less innovation. I might still find a small area that is patentable, but the scope for optimisation is severely limited from the start. We, on the other hand, said: maybe there are completely new classes of substances, large unexplored chemical spaces. But to know that, you have to read everything. People always say we are in the information age, but in reality, most of the information is hidden somewhere. Someone has put a big lock on it and is holding out their hand, asking for a pile of money and offering stone-age methods of searching and analysing the information. Finding genuine sources of information that you can afford as a small company is challenging.
What we can get, however, are patent documents – we are talking about over 23 million documents worldwide for chemistry and pharmaceuticals. We need technology to extract chemical and non-chemical information from these documents. We developed that, and the next step was to look at the molecular targets. And then suddenly we had a matrix between substances, between enzymes or receptors, the diseases and the companies working on them.
To abstract the knowledge from patents and use this knowledge to position ourselves, we have developed a product called Cippix®. We use it to proactively compare what we do in terms of innovation with what happens in the patent space on a weekly basis. Cippix® can then tell us: watch out, you’re hitting an IP here.

